CMSPI Insights Advisory Council
Manchester, Lancashire
Job role: Analyst (Associate Consultant) Location: Manchester, England, U.K. - hybrid working model Reporting to: Consulting Team - Performance Manager The world of payments is going through the most thrilling transformation imaginable. Volumes are growing, payment options are expanding, and complexity is intensifying. Retailers are at the epicentre of these changes, and it is CMSPI's mission to revolutionise payments for merchants and retailers worldwide. We are a hyper-growth company and the go-to payments advisor for Global 500 merchants, driving big cost savings, huge sales growth, and enhanced strategies. CMSPI is at the forefront of transforming the payments industry, and as a Analyst (Associate Consultant), you'll be at the heart of this exciting journey. We are seeking a data driven Analyst (Associate Consultant) to play a pivotal role in our journey to become the world's no 1 payments supply chain consultancy. Role Overview CMSPI's Analysts (Associate Consultants) play an integral role within our payments consulting team, where they combine payments knowledge with in depth and meaningful analytics, to discover exciting opportunities that drive optimisation across our clients' payment arrangements. You'll work alongside senior associates, engagement managers, consulting leadership, and the wider CMSPI team to understand the business goals of our clients, with a focus on helping them to better navigate the complexities of their evolving payment ecosystems. The team's goal is to provide powerful data insights to drive tangible improvements to client's payment strategy and third party supplier arrangements. While following CMSPI's refined internal processes and standards, this role provides our Associate Consultants with the opportunity to closely support CMSPI's delivery teams to identify, investigate, and present optimisation initiatives directly to some of the most exciting brands in the world. The day to day deliverables also offer the ability to quickly grow your career and develop your own commercial, technical and leadership skills in the process - all as part of an intelligent and vibrant global team. The key focus areas include: Perform in depth analysis on complex client payment data, internal and external payment processes, using benchmarking data, industry research and payments knowledge. Analysis should be completed efficiently and accurately, with minimal corrections. Produce accurate reports to communicate back to clients through various methods including Excel, Power BI, written reports and presentations. Use CMSPI methodologies and entrepreneurial initiative to suggest opportunities and improvements to client arrangements and support these with detailed analysis. Accompany the project team to client meetings to provide technical and analytical support. Collaborate with Engagement Managers on the production of negotiation and tender documentation to be sent to suppliers of clients, with responsibility for written documentation, appendices and pricing tables. Review commercial contracts and SLAs for CMSPI and clients. Complete all required training on projects and internal processes. With support of the Performance Manager and Director, People Performance, proactively work on an individual development plan. Gain a thorough understanding of each market CMSPI operates in and our core product offerings. Continue to share knowledge from projects with the wider business. Work closely with Senior Associates and Engagement Managers in the management and coordination of projects to ensure deadlines are met, looking at driving process improvements internally to promote efficient data analysis and ultimately drive further value in client projects. You are a great match if Ambitious individual excited by a challenge and curious to learn a new industry and new skills. Bachelor's or Master's degree in Economics, Sciences, Mathematics, Business Administration, Finance, or a related field. 1+ years of professional experience in consulting or analysis, including experience in presenting complex analytical findings. Strong ability to apply logic, creativity and solid problem solving techniques across a variety of topics. Interest in innovation and developments around CMSPI's key differentiators - consulting, market intelligence and sophisticated data analytics. Excellent written and verbal skills, demonstrating an authentic and professional communication approach. Strong organisational skills and ability to manage and prioritize a high volume of tasks to meet deadlines. Demonstrates proactive behaviour in clarifying expectations, asking questions and understanding deliverables for the best outcomes. Demonstrates intellectual curiosity, resilience and flexibility to work in a fast growing business and industry. Comfortable presenting opportunities to internal and external stakeholders, with keen relationship management skills. Willingness to travel to client and company meetings as required. Competence in and experience utilising MS Office. Experience in SQL and Power BI is highly desirable but not required. What we offer Comprehensive payments industry training by in house and industry experts. Excellent performance based earning opportunity, including OKR driven bonuses. Future opportunity for equity, rewarded to high performers. Personal and professional learning opportunities and growth experiences aligned with your career aspirations. Quarterly values award for all employees - with a financial prize. Regular company wide socials and team building events. Monthly reimbursement of commuting costs. 22 vacation days + UK public holidays and discretionary office closure during Christmas. Competitive pension plan, Vitality healthcare cover (after 6 months) and cycle to work scheme.
May 05, 2026
Full time
Job role: Analyst (Associate Consultant) Location: Manchester, England, U.K. - hybrid working model Reporting to: Consulting Team - Performance Manager The world of payments is going through the most thrilling transformation imaginable. Volumes are growing, payment options are expanding, and complexity is intensifying. Retailers are at the epicentre of these changes, and it is CMSPI's mission to revolutionise payments for merchants and retailers worldwide. We are a hyper-growth company and the go-to payments advisor for Global 500 merchants, driving big cost savings, huge sales growth, and enhanced strategies. CMSPI is at the forefront of transforming the payments industry, and as a Analyst (Associate Consultant), you'll be at the heart of this exciting journey. We are seeking a data driven Analyst (Associate Consultant) to play a pivotal role in our journey to become the world's no 1 payments supply chain consultancy. Role Overview CMSPI's Analysts (Associate Consultants) play an integral role within our payments consulting team, where they combine payments knowledge with in depth and meaningful analytics, to discover exciting opportunities that drive optimisation across our clients' payment arrangements. You'll work alongside senior associates, engagement managers, consulting leadership, and the wider CMSPI team to understand the business goals of our clients, with a focus on helping them to better navigate the complexities of their evolving payment ecosystems. The team's goal is to provide powerful data insights to drive tangible improvements to client's payment strategy and third party supplier arrangements. While following CMSPI's refined internal processes and standards, this role provides our Associate Consultants with the opportunity to closely support CMSPI's delivery teams to identify, investigate, and present optimisation initiatives directly to some of the most exciting brands in the world. The day to day deliverables also offer the ability to quickly grow your career and develop your own commercial, technical and leadership skills in the process - all as part of an intelligent and vibrant global team. The key focus areas include: Perform in depth analysis on complex client payment data, internal and external payment processes, using benchmarking data, industry research and payments knowledge. Analysis should be completed efficiently and accurately, with minimal corrections. Produce accurate reports to communicate back to clients through various methods including Excel, Power BI, written reports and presentations. Use CMSPI methodologies and entrepreneurial initiative to suggest opportunities and improvements to client arrangements and support these with detailed analysis. Accompany the project team to client meetings to provide technical and analytical support. Collaborate with Engagement Managers on the production of negotiation and tender documentation to be sent to suppliers of clients, with responsibility for written documentation, appendices and pricing tables. Review commercial contracts and SLAs for CMSPI and clients. Complete all required training on projects and internal processes. With support of the Performance Manager and Director, People Performance, proactively work on an individual development plan. Gain a thorough understanding of each market CMSPI operates in and our core product offerings. Continue to share knowledge from projects with the wider business. Work closely with Senior Associates and Engagement Managers in the management and coordination of projects to ensure deadlines are met, looking at driving process improvements internally to promote efficient data analysis and ultimately drive further value in client projects. You are a great match if Ambitious individual excited by a challenge and curious to learn a new industry and new skills. Bachelor's or Master's degree in Economics, Sciences, Mathematics, Business Administration, Finance, or a related field. 1+ years of professional experience in consulting or analysis, including experience in presenting complex analytical findings. Strong ability to apply logic, creativity and solid problem solving techniques across a variety of topics. Interest in innovation and developments around CMSPI's key differentiators - consulting, market intelligence and sophisticated data analytics. Excellent written and verbal skills, demonstrating an authentic and professional communication approach. Strong organisational skills and ability to manage and prioritize a high volume of tasks to meet deadlines. Demonstrates proactive behaviour in clarifying expectations, asking questions and understanding deliverables for the best outcomes. Demonstrates intellectual curiosity, resilience and flexibility to work in a fast growing business and industry. Comfortable presenting opportunities to internal and external stakeholders, with keen relationship management skills. Willingness to travel to client and company meetings as required. Competence in and experience utilising MS Office. Experience in SQL and Power BI is highly desirable but not required. What we offer Comprehensive payments industry training by in house and industry experts. Excellent performance based earning opportunity, including OKR driven bonuses. Future opportunity for equity, rewarded to high performers. Personal and professional learning opportunities and growth experiences aligned with your career aspirations. Quarterly values award for all employees - with a financial prize. Regular company wide socials and team building events. Monthly reimbursement of commuting costs. 22 vacation days + UK public holidays and discretionary office closure during Christmas. Competitive pension plan, Vitality healthcare cover (after 6 months) and cycle to work scheme.
Principal Consultant - Spider Labs (Pen Testing) United Kingdom Job Description Posted Thursday, April 16, 2026 at 11:00 PM LevelBlue reduces risk and builds lasting resilience so organizations can innovate and advance their mission with confidence. As the world's most analyst-recognized and largest pure-play managed security services provider, LevelBlue elevates client outcomes that matter: stronger defense, faster response, and sustained business continuity. LevelBlue combines AI-powered security operations, advanced threat intelligence, and elite human expertise to provide the most comprehensive portfolio of strategic advisory, managed security, offensive security, and incident response services. Principal Security Consultant - Red Team The Principal Security Consultant role offers an exciting opportunity to work within the world-renowned and truly global SpiderLabs team. The team currently has security consultants throughout North America, Latin and Central America, Europe, Africa, Australia, and Asia. As a Red Team Leader you will deliver red-team engagements and adversary simulation exercises for enterprise clients across the EMEA region. You will lead technical execution (including custom tooling and malware research) and collaborate with client stakeholders. This is a senior technical leader hands on role: you will perform research, be hands on keyboard and mentor others. A more managerial focused role could also be considered for the right candidate. Candidates should be well versed in leading red teaming engagements as well as the softer side of consultancy. Consultants must be able to balance workload, work effectively, and jointly with colleagues within the ever-growing team worldwide. Specific Responsibilities: Lead end-to-end red-team engagements (scoping, execution, debrief and remediation tracking) for enterprise clients in EMEA simulating advanced adversaries. Build, secure, and operate various C2 channels as required by the engagement. Perform exploit development, research and weaponization. Lead client interactions: present technical findings and executive summaries and deliver remediation roadmaps. Mentor junior red teamers, perform code reviews, and contribute to team playbooks and tooling frameworks. Qualifications: Active CCRTS or CCRTM qualification is essential for this role (formerly known as CCSAS or CCSAM, respectively) 5+ years of professional red team experience with demonstrable delivery of client engagements across enterprise environments. Proven experience delivering multi-week red team / adversary emulation engagements to clients (end-to-end). Have experience in developing your own, and enhancing existing offensive security tools, ideally in .NET, C or C++. Solid understanding of Windows internals and Active Directory; good knowledge of Linux/macOS internals. Ability to present at conferences. Is a highly autonomous worker, able to operate with little to no supervision Strong team player and technical innovator with an ability to build and leverage relationships on an inter and intradepartmental basis Ability to create and maintain methodologies and process definitions Experience developing, delivering and managing large consulting engagements Education: A high school diploma or equivalent is required; a college or university degree is a plus. Industry certifications preferred:OSCP, OSCE, OSEE, GXPN, and/or GPEN, CRTO. This role is open to candidates legally authorized to work in the United Kingdom. At LevelBlue, we support flexible work and bring people together in person for key moments based on role, team, and business needs. LevelBlue is committed to a culture of respect, inclusion, and equal opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other status protected under applicable law. To all agencies: Please do not contact LevelBlue employees outside of the Talent Acquisition team. LevelBlue's policy is to only accept resumes from agencies through its approved agency process and with a valid agreement in place. Any resume submitted outside this process will be considered the property of LevelBlue, and no fee will be paid if a candidate is hired from such a submission.
May 04, 2026
Full time
Principal Consultant - Spider Labs (Pen Testing) United Kingdom Job Description Posted Thursday, April 16, 2026 at 11:00 PM LevelBlue reduces risk and builds lasting resilience so organizations can innovate and advance their mission with confidence. As the world's most analyst-recognized and largest pure-play managed security services provider, LevelBlue elevates client outcomes that matter: stronger defense, faster response, and sustained business continuity. LevelBlue combines AI-powered security operations, advanced threat intelligence, and elite human expertise to provide the most comprehensive portfolio of strategic advisory, managed security, offensive security, and incident response services. Principal Security Consultant - Red Team The Principal Security Consultant role offers an exciting opportunity to work within the world-renowned and truly global SpiderLabs team. The team currently has security consultants throughout North America, Latin and Central America, Europe, Africa, Australia, and Asia. As a Red Team Leader you will deliver red-team engagements and adversary simulation exercises for enterprise clients across the EMEA region. You will lead technical execution (including custom tooling and malware research) and collaborate with client stakeholders. This is a senior technical leader hands on role: you will perform research, be hands on keyboard and mentor others. A more managerial focused role could also be considered for the right candidate. Candidates should be well versed in leading red teaming engagements as well as the softer side of consultancy. Consultants must be able to balance workload, work effectively, and jointly with colleagues within the ever-growing team worldwide. Specific Responsibilities: Lead end-to-end red-team engagements (scoping, execution, debrief and remediation tracking) for enterprise clients in EMEA simulating advanced adversaries. Build, secure, and operate various C2 channels as required by the engagement. Perform exploit development, research and weaponization. Lead client interactions: present technical findings and executive summaries and deliver remediation roadmaps. Mentor junior red teamers, perform code reviews, and contribute to team playbooks and tooling frameworks. Qualifications: Active CCRTS or CCRTM qualification is essential for this role (formerly known as CCSAS or CCSAM, respectively) 5+ years of professional red team experience with demonstrable delivery of client engagements across enterprise environments. Proven experience delivering multi-week red team / adversary emulation engagements to clients (end-to-end). Have experience in developing your own, and enhancing existing offensive security tools, ideally in .NET, C or C++. Solid understanding of Windows internals and Active Directory; good knowledge of Linux/macOS internals. Ability to present at conferences. Is a highly autonomous worker, able to operate with little to no supervision Strong team player and technical innovator with an ability to build and leverage relationships on an inter and intradepartmental basis Ability to create and maintain methodologies and process definitions Experience developing, delivering and managing large consulting engagements Education: A high school diploma or equivalent is required; a college or university degree is a plus. Industry certifications preferred:OSCP, OSCE, OSEE, GXPN, and/or GPEN, CRTO. This role is open to candidates legally authorized to work in the United Kingdom. At LevelBlue, we support flexible work and bring people together in person for key moments based on role, team, and business needs. LevelBlue is committed to a culture of respect, inclusion, and equal opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other status protected under applicable law. To all agencies: Please do not contact LevelBlue employees outside of the Talent Acquisition team. LevelBlue's policy is to only accept resumes from agencies through its approved agency process and with a valid agreement in place. Any resume submitted outside this process will be considered the property of LevelBlue, and no fee will be paid if a candidate is hired from such a submission.
RSR is a public safety & enterprise security recruitment specialist. We assist public safety employers find the right talent. We assist all employers when they want to source public safety and enterprise security skills and experience. 4 x Intelligence Analysts Location: Birmingham Pay Rate: 170 per day Contract: 6 months+ Working Pattern: Shift-based (including early mornings, late evenings and weekends) due to the shift patterns you should have access to own vehicle Vetting Requirement: SC Clearance (must be eligible) About the Role We are seeking an experienced and highly analytical Intelligence Analyst to join a dynamic intelligence function on a contract basis. This is a critical role where you will deliver high-quality analytical products to support decision-making at strategic, tactical, and operational levels. You will provide insight into threats, risks, and vulnerabilities, helping shape responses to complex challenges. This opportunity is ideal for someone with strong analytical expertise, experience working with complex datasets, and the ability to operate effectively in high-pressure environments. Key Responsibilities Analysis & Intelligence Development Conduct strategic, tactical, and operational analysis using a range of analytical techniques Identify patterns, trends, and intelligence gaps to inform decision-making Assess threat, risk, and harm, providing clear recommendations Develop and contribute to intelligence collection plans Maintain up-to-date knowledge of emerging trends and risks Strategic Support & Advisory Provide expert analytical advice to support prioritisation and resource allocation Identify key priorities using structured risk assessment approaches Deliver insights to senior stakeholders to guide operational activity Support governance processes to ensure a coordinated response to threats Stakeholder Engagement Build and maintain effective relationships with internal teams and external partners Prepare and deliver high-quality briefings and presentations Translate complex data into clear, actionable insights Work closely with investigators to interpret and develop evidential material Operational & Evidential Support Produce analytical products to support investigations and operational activity Prepare evidence and, where required, present findings in formal settings Provide detailed analytical support to serious and complex cases Monitoring & Evaluation Conduct horizon scanning and environmental analysis Deliver detailed reports identifying emerging risks and opportunities Communicate findings, hypotheses, and recommendations clearly About You Essential Experience & Knowledge About You Essential Experience & Knowledge Degree level in relevant subject or equivalent qualification or experience within a similar environment Experience as an Intelligence Analyst within a law enforcement agency (LEA) Experience of collating, evaluating, structuring and processing data to identify patterns, series, similarities and discrepancies within a variety of information types Ability to use software packages in the charting and analytical preparation of data Evidence of working with, Interpreting & simplifying complex data sets Highly competent in the use of Microsoft packages, advanced skills in Microsoft Excel Evidence a good understanding of the requirements of the National Intelligence Model (NIM) Understanding of, and ability to apply, relevant legislation (i.e ECHR, RIPA, Data Protection) Experience of working within a team and on own initiative, effectively planning and organising activities and resources to meet objectives Desirable Experience working in an intelligence or analytical role Knowledge of crime trends, risk modelling, or investigative environments Experience using specialist analytical tools (e.g. data visualisation or mapping software) Understanding of the distinction between analysis, policy, and decision-making Due to the high volume of applications we receive, if you do not hear from us within 7 working days, your application has been unsuccessful. If this role is not for you but you do know somebody who would be interested, please feel free to refer them to us! We have a "Refer A Friend" bonus scheme and we will reward you retail vouchers for any referrals who are not already known to us and are successfully placed! Red Snapper Recruitment is a member of the Red Snapper Group. The Red Snapper Group acts as an employment agency (permanent) and as an employment business (temporary) - a free and confidential service to candidates. The Red Snapper Recruitment Group is an equal opportunities employer.
May 04, 2026
Contractor
RSR is a public safety & enterprise security recruitment specialist. We assist public safety employers find the right talent. We assist all employers when they want to source public safety and enterprise security skills and experience. 4 x Intelligence Analysts Location: Birmingham Pay Rate: 170 per day Contract: 6 months+ Working Pattern: Shift-based (including early mornings, late evenings and weekends) due to the shift patterns you should have access to own vehicle Vetting Requirement: SC Clearance (must be eligible) About the Role We are seeking an experienced and highly analytical Intelligence Analyst to join a dynamic intelligence function on a contract basis. This is a critical role where you will deliver high-quality analytical products to support decision-making at strategic, tactical, and operational levels. You will provide insight into threats, risks, and vulnerabilities, helping shape responses to complex challenges. This opportunity is ideal for someone with strong analytical expertise, experience working with complex datasets, and the ability to operate effectively in high-pressure environments. Key Responsibilities Analysis & Intelligence Development Conduct strategic, tactical, and operational analysis using a range of analytical techniques Identify patterns, trends, and intelligence gaps to inform decision-making Assess threat, risk, and harm, providing clear recommendations Develop and contribute to intelligence collection plans Maintain up-to-date knowledge of emerging trends and risks Strategic Support & Advisory Provide expert analytical advice to support prioritisation and resource allocation Identify key priorities using structured risk assessment approaches Deliver insights to senior stakeholders to guide operational activity Support governance processes to ensure a coordinated response to threats Stakeholder Engagement Build and maintain effective relationships with internal teams and external partners Prepare and deliver high-quality briefings and presentations Translate complex data into clear, actionable insights Work closely with investigators to interpret and develop evidential material Operational & Evidential Support Produce analytical products to support investigations and operational activity Prepare evidence and, where required, present findings in formal settings Provide detailed analytical support to serious and complex cases Monitoring & Evaluation Conduct horizon scanning and environmental analysis Deliver detailed reports identifying emerging risks and opportunities Communicate findings, hypotheses, and recommendations clearly About You Essential Experience & Knowledge About You Essential Experience & Knowledge Degree level in relevant subject or equivalent qualification or experience within a similar environment Experience as an Intelligence Analyst within a law enforcement agency (LEA) Experience of collating, evaluating, structuring and processing data to identify patterns, series, similarities and discrepancies within a variety of information types Ability to use software packages in the charting and analytical preparation of data Evidence of working with, Interpreting & simplifying complex data sets Highly competent in the use of Microsoft packages, advanced skills in Microsoft Excel Evidence a good understanding of the requirements of the National Intelligence Model (NIM) Understanding of, and ability to apply, relevant legislation (i.e ECHR, RIPA, Data Protection) Experience of working within a team and on own initiative, effectively planning and organising activities and resources to meet objectives Desirable Experience working in an intelligence or analytical role Knowledge of crime trends, risk modelling, or investigative environments Experience using specialist analytical tools (e.g. data visualisation or mapping software) Understanding of the distinction between analysis, policy, and decision-making Due to the high volume of applications we receive, if you do not hear from us within 7 working days, your application has been unsuccessful. If this role is not for you but you do know somebody who would be interested, please feel free to refer them to us! We have a "Refer A Friend" bonus scheme and we will reward you retail vouchers for any referrals who are not already known to us and are successfully placed! Red Snapper Recruitment is a member of the Red Snapper Group. The Red Snapper Group acts as an employment agency (permanent) and as an employment business (temporary) - a free and confidential service to candidates. The Red Snapper Recruitment Group is an equal opportunities employer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Newly created opportunity for a Group Procurement Analyst with retail / product manufacturing expereince for a growing global product supplier. The Procurement Analyst will be a pivotal member of the Group Procurement function, delivering actionable insights and reporting across the full procurement spectrum. From spend analysis, cash management to supplier performance and PPV (Part Price Variance). The role will drive data-led decision-making and establish standardised best practices across the group. Midlands Hybrid working options + occasional group travel. World-leading supplier of B2B and B2C products with c700 employees across multiple sites in the UK, Europe, the US and India. With leading brands, innovative products, and a global footprint, they are committed to delivering sustainable solutions that protect public health and work in harmony with nature. Operating in a newly formed Procurement Centre of Excellence function, the Analyst will work with multiple business units and systems while collaborating closely with stakeholders across procurement, operations, finance, and commercial teams. Key Objectives Design, implement, and maintain automated dashboards and data systems across the Group. Provide stakeholders with clear, data-driven insights that enable better and faster decision-making. Promote consistency and standardisation of Procurement practices across business units. Support the development of a data-driven, agile Procurement function. Key Responsibilities: Analytics & Reporting Develop and maintain dashboards, reports, and planning tools to support supply chain visibility and decision-making. Provide analytical support for inventory optimisation, cost reduction, and supplier performance improvement. Ensure data accuracy and alignment across systems (e.g., SAP, Dynamics, Power BI) in partnership with IT. Procurement & Performance Lead spend analysis across direct and indirect categories to identify savings opportunities. Deliver commodity insights and market intelligence to support sourcing decisions. Own OTIF reporting and supplier performance metrics (lead times, arrears, quality). Support supplier quality analysis, contract negotiations, and onboarding in line with compliance and sustainability standards. Stakeholder Engagement Act as the central lead for Procurement analytics across the group. Partner with regional and commercial teams to align priorities and drive continuous improvement. Essential Requirements Experience in procurement analytics, demand planning, or inventory management in a complex environment. Advanced Excel skills and experience with Power BI (or similar tools). Hands-on ERP experience (e.g., SAP or Microsoft Dynamics 365). Strong analytical and communication skills with the ability to influence stakeholders. Able to manage multiple priorities and deliver results independently Desirable Exposure to commodity markets and supplier performance frameworks. Knowledge of sustainability/ESG in supply chain. Experience in manufacturing, distribution, or retail (multi-site/international preferred). Advanced analytics skills (e.g., forecasting, SQL, Python). Relevant qualifications (e.g., APICS/CSCP, CIPS, Six Sigma). This is a rare and critical opportunity for a Procurement Analyst, driving high-impact solutions that directly support business growth. Full job description available on request. Our client is committed to creating a diverse and inclusive workplace. All applications will be considered. If you would like to learn more, please apply or contact Tim Hill at Technical Placements for an initial chat about the role.
May 04, 2026
Full time
Newly created opportunity for a Group Procurement Analyst with retail / product manufacturing expereince for a growing global product supplier. The Procurement Analyst will be a pivotal member of the Group Procurement function, delivering actionable insights and reporting across the full procurement spectrum. From spend analysis, cash management to supplier performance and PPV (Part Price Variance). The role will drive data-led decision-making and establish standardised best practices across the group. Midlands Hybrid working options + occasional group travel. World-leading supplier of B2B and B2C products with c700 employees across multiple sites in the UK, Europe, the US and India. With leading brands, innovative products, and a global footprint, they are committed to delivering sustainable solutions that protect public health and work in harmony with nature. Operating in a newly formed Procurement Centre of Excellence function, the Analyst will work with multiple business units and systems while collaborating closely with stakeholders across procurement, operations, finance, and commercial teams. Key Objectives Design, implement, and maintain automated dashboards and data systems across the Group. Provide stakeholders with clear, data-driven insights that enable better and faster decision-making. Promote consistency and standardisation of Procurement practices across business units. Support the development of a data-driven, agile Procurement function. Key Responsibilities: Analytics & Reporting Develop and maintain dashboards, reports, and planning tools to support supply chain visibility and decision-making. Provide analytical support for inventory optimisation, cost reduction, and supplier performance improvement. Ensure data accuracy and alignment across systems (e.g., SAP, Dynamics, Power BI) in partnership with IT. Procurement & Performance Lead spend analysis across direct and indirect categories to identify savings opportunities. Deliver commodity insights and market intelligence to support sourcing decisions. Own OTIF reporting and supplier performance metrics (lead times, arrears, quality). Support supplier quality analysis, contract negotiations, and onboarding in line with compliance and sustainability standards. Stakeholder Engagement Act as the central lead for Procurement analytics across the group. Partner with regional and commercial teams to align priorities and drive continuous improvement. Essential Requirements Experience in procurement analytics, demand planning, or inventory management in a complex environment. Advanced Excel skills and experience with Power BI (or similar tools). Hands-on ERP experience (e.g., SAP or Microsoft Dynamics 365). Strong analytical and communication skills with the ability to influence stakeholders. Able to manage multiple priorities and deliver results independently Desirable Exposure to commodity markets and supplier performance frameworks. Knowledge of sustainability/ESG in supply chain. Experience in manufacturing, distribution, or retail (multi-site/international preferred). Advanced analytics skills (e.g., forecasting, SQL, Python). Relevant qualifications (e.g., APICS/CSCP, CIPS, Six Sigma). This is a rare and critical opportunity for a Procurement Analyst, driving high-impact solutions that directly support business growth. Full job description available on request. Our client is committed to creating a diverse and inclusive workplace. All applications will be considered. If you would like to learn more, please apply or contact Tim Hill at Technical Placements for an initial chat about the role.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Skills and Competencies 12+ years of experience in leveraged finance, credit analysis, investment banking, or a related financial services field, with a strong track record in credit ratings, risk management, and senior leadership roles across EMEA Strong people management and leadership capabilities, including experience setting clear objectives, managing performance, providing regular feedback, and fostering an inclusive, high-performance culture across geographically dispersed teams Deep expertise in leveraged finance markets, including high yield bonds, leveraged loans, private credit, and evolving capital markets across EMEA Strong analytical judgment with the ability to assess and interpret complex capital structures and transactions across diverse jurisdictions and regulatory environments Exceptional communication, presentation, and interpersonal skills, with the credibility to represent Moody's at senior levels with external stakeholders Proven ability to build and sustain relationships with corporate issuers, private equity sponsors, intermediaries, investors, and media across multiple EMEA markets Demonstrated experience leading, mentoring, and developing high performing, geographically dispersed teams Strong collaboration skills, with a track record of working effectively across regions, functions, and product lines within a global organisation Forward thinking mindset with the ability to contribute to data, digitalisation, and process innovation initiatives Strong commitment to operational excellence, risk management, and regulatory compliance, including familiarity with EMEA regulatory frameworks (e.g., ESMA, FCA and other regional authorities) Demonstrated proficiency in leveraging AI tools and technologies to enhance analytical output and productivity, with a commitment to responsible use and continuous learning Education Bachelor's degree in finance, economics, business, or a related field; advanced degree preferred Responsibilities This role leads Moody's EMEA Leveraged Finance Research & Outreach strategy, amplifying the franchise's voice and strengthening market impact across the region. Execute the Corporate Finance Group (CFG) strategy for Leveraged Finance Research & Outreach across EMEA, enhancing research publications, digital assets, thought leadership, and market engagement Represent Moody's internally and externally, clearly articulating the firm's analytical perspectives on leveraged finance trends and credit risk across EMEA markets Serve as a subject matter leader on leveraged finance themes, identifying emerging regional and global trends and ensuring consistency in analytical viewpoints on complex transactions Maintain and expand strong relationships with key stakeholders, including high yield issuers, private equity sponsors, financial intermediaries, investors, media, and regulatory bodies across EMEA Collaborate closely with regional leveraged finance teams, sector rating groups, and Commercial Strategy & Solutions (CSS) to drive analytical excellence, innovation, and coordination Partner with the Private Credit franchise to deliver a cohesive, high impact One Moody's approach to analysis and market engagement Lead and develop a team of leveraged finance professionals, guiding research contributions, mentoring analysts, and supporting career development Serve as Rating Committee Chair and Credit Estimates approver, ensuring analytical rigor and adherence to Moody's methodologies and policies Drive data, digitalisation, and process initiatives focused on standardisation, harmonisation, automation, and operational efficiency across the region Ensure full compliance with regulatory requirements and internal policies, maintaining the highest standards of integrity, governance, and risk management About the Team The EMEA Leveraged Finance team sits within Moody's Ratings' Corporate Finance Group and plays a pivotal role in shaping the firm's analytical and market facing perspective across one of the most dynamic segments of the regional credit markets. Guided by the Global Head of Leveraged Finance, the team works closely with rating analysts, sector specialists, private credit teams, and global counterparts to deliver high impact research, market outreach, and thought leadership. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
May 04, 2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Skills and Competencies 12+ years of experience in leveraged finance, credit analysis, investment banking, or a related financial services field, with a strong track record in credit ratings, risk management, and senior leadership roles across EMEA Strong people management and leadership capabilities, including experience setting clear objectives, managing performance, providing regular feedback, and fostering an inclusive, high-performance culture across geographically dispersed teams Deep expertise in leveraged finance markets, including high yield bonds, leveraged loans, private credit, and evolving capital markets across EMEA Strong analytical judgment with the ability to assess and interpret complex capital structures and transactions across diverse jurisdictions and regulatory environments Exceptional communication, presentation, and interpersonal skills, with the credibility to represent Moody's at senior levels with external stakeholders Proven ability to build and sustain relationships with corporate issuers, private equity sponsors, intermediaries, investors, and media across multiple EMEA markets Demonstrated experience leading, mentoring, and developing high performing, geographically dispersed teams Strong collaboration skills, with a track record of working effectively across regions, functions, and product lines within a global organisation Forward thinking mindset with the ability to contribute to data, digitalisation, and process innovation initiatives Strong commitment to operational excellence, risk management, and regulatory compliance, including familiarity with EMEA regulatory frameworks (e.g., ESMA, FCA and other regional authorities) Demonstrated proficiency in leveraging AI tools and technologies to enhance analytical output and productivity, with a commitment to responsible use and continuous learning Education Bachelor's degree in finance, economics, business, or a related field; advanced degree preferred Responsibilities This role leads Moody's EMEA Leveraged Finance Research & Outreach strategy, amplifying the franchise's voice and strengthening market impact across the region. Execute the Corporate Finance Group (CFG) strategy for Leveraged Finance Research & Outreach across EMEA, enhancing research publications, digital assets, thought leadership, and market engagement Represent Moody's internally and externally, clearly articulating the firm's analytical perspectives on leveraged finance trends and credit risk across EMEA markets Serve as a subject matter leader on leveraged finance themes, identifying emerging regional and global trends and ensuring consistency in analytical viewpoints on complex transactions Maintain and expand strong relationships with key stakeholders, including high yield issuers, private equity sponsors, financial intermediaries, investors, media, and regulatory bodies across EMEA Collaborate closely with regional leveraged finance teams, sector rating groups, and Commercial Strategy & Solutions (CSS) to drive analytical excellence, innovation, and coordination Partner with the Private Credit franchise to deliver a cohesive, high impact One Moody's approach to analysis and market engagement Lead and develop a team of leveraged finance professionals, guiding research contributions, mentoring analysts, and supporting career development Serve as Rating Committee Chair and Credit Estimates approver, ensuring analytical rigor and adherence to Moody's methodologies and policies Drive data, digitalisation, and process initiatives focused on standardisation, harmonisation, automation, and operational efficiency across the region Ensure full compliance with regulatory requirements and internal policies, maintaining the highest standards of integrity, governance, and risk management About the Team The EMEA Leveraged Finance team sits within Moody's Ratings' Corporate Finance Group and plays a pivotal role in shaping the firm's analytical and market facing perspective across one of the most dynamic segments of the regional credit markets. Guided by the Global Head of Leveraged Finance, the team works closely with rating analysts, sector specialists, private credit teams, and global counterparts to deliver high impact research, market outreach, and thought leadership. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Our client has a permanent vacancy for a Senior Systems Analyst to be responsible for the overall management, optimisation, and efficient running of business systems. You will work closely with business stakeholders in Operations, Finance, Sales, B2B Commerce, and Warehousing to understand business requirements, improve system capabilities, and develop scalable and robust solutions. Key Responsibilities Business Analysis & Process Improvement Engage with business stakeholders to understand operational needs, map processes, and identify opportunities for improvement. Lead requirements gathering workshops and convert requirements into functional and technical requirements. Define current workflow and future workflow as well as identifying bottlenecks and recommending solutions. Support change initiatives by assessing business impact, defining success metrics, and ensuring smooth transition to new processes. Manage supplier relationships to ensure that they provide quality support and deliver fixes on time and according to business priorities. Systems Analysis & Support Provide advanced 2nd/3rd line support and subject matter expertise to the business applications, including the ERP and integrated applications. Carry out root cause analysis for system issues and coordinate with internal teams and vendors to implement permanent corrective actions. Ensure systems remain performant, scalable, and aligned with business growth objectives. Configuration management, system checks on master data integrity and optimization of system usage across various departments. Project Delivery Contribute to full project lifecycles from discovery and design through testing, deployment, and adoption by users. Taking ownership of project deliverables, ensuring quality documentation and timely completion. Testing & Quality Assurance Develop test scenarios, test scripts, and perform UAT and regression testing on changes and upgrades to the system. Validate data flows, integrations, and business rules to ensure reliable operation of end-to-end processes. Reporting & Data Insight Operational and analytical reporting Create, maintain, and enhance reports to support decision making. Interact with stakeholders to define reporting needs. Training & User Guidance Train and guide the end users on the new features and processes and best practices. Develop training documents, knowledge articles, and process documentation. Required Skills & Experience Strong experience in business or systems analysis within an ERP centric environment. Hands on experience with enterprise resource planning systems Relational database experience e.g. writing queries, and performance tuning. Systems integration, API s and data flows between enterprise platforms. Communication and stakeholder engagement skills with a customer driven approach. The ability to document requirements, processes and technical specifications correctly and efficiently. Desirable Skills & Experience Sage X3 ERP Experience. Understanding of Finance, B2B ecommerce, warehouse, supply chain or product distribution. Experience with Crystal Reports, Sage Enterprise Intelligence or similar reporting tools. Knowledge and experience of working with web services, API integrations, or system automation. Familiarity with Magento, Shopify, or other B2B ecommerce platforms. Microsoft SQL Experience. Due to the large number of responses we receive it is not always possible to respond to every application straight away. Should your skills and experience be a match for this role, or any other vacancy we may have, we will normally contact you within 72 hours of receiving your application. If you wish to apply for further roles please do so.
May 04, 2026
Full time
Our client has a permanent vacancy for a Senior Systems Analyst to be responsible for the overall management, optimisation, and efficient running of business systems. You will work closely with business stakeholders in Operations, Finance, Sales, B2B Commerce, and Warehousing to understand business requirements, improve system capabilities, and develop scalable and robust solutions. Key Responsibilities Business Analysis & Process Improvement Engage with business stakeholders to understand operational needs, map processes, and identify opportunities for improvement. Lead requirements gathering workshops and convert requirements into functional and technical requirements. Define current workflow and future workflow as well as identifying bottlenecks and recommending solutions. Support change initiatives by assessing business impact, defining success metrics, and ensuring smooth transition to new processes. Manage supplier relationships to ensure that they provide quality support and deliver fixes on time and according to business priorities. Systems Analysis & Support Provide advanced 2nd/3rd line support and subject matter expertise to the business applications, including the ERP and integrated applications. Carry out root cause analysis for system issues and coordinate with internal teams and vendors to implement permanent corrective actions. Ensure systems remain performant, scalable, and aligned with business growth objectives. Configuration management, system checks on master data integrity and optimization of system usage across various departments. Project Delivery Contribute to full project lifecycles from discovery and design through testing, deployment, and adoption by users. Taking ownership of project deliverables, ensuring quality documentation and timely completion. Testing & Quality Assurance Develop test scenarios, test scripts, and perform UAT and regression testing on changes and upgrades to the system. Validate data flows, integrations, and business rules to ensure reliable operation of end-to-end processes. Reporting & Data Insight Operational and analytical reporting Create, maintain, and enhance reports to support decision making. Interact with stakeholders to define reporting needs. Training & User Guidance Train and guide the end users on the new features and processes and best practices. Develop training documents, knowledge articles, and process documentation. Required Skills & Experience Strong experience in business or systems analysis within an ERP centric environment. Hands on experience with enterprise resource planning systems Relational database experience e.g. writing queries, and performance tuning. Systems integration, API s and data flows between enterprise platforms. Communication and stakeholder engagement skills with a customer driven approach. The ability to document requirements, processes and technical specifications correctly and efficiently. Desirable Skills & Experience Sage X3 ERP Experience. Understanding of Finance, B2B ecommerce, warehouse, supply chain or product distribution. Experience with Crystal Reports, Sage Enterprise Intelligence or similar reporting tools. Knowledge and experience of working with web services, API integrations, or system automation. Familiarity with Magento, Shopify, or other B2B ecommerce platforms. Microsoft SQL Experience. Due to the large number of responses we receive it is not always possible to respond to every application straight away. Should your skills and experience be a match for this role, or any other vacancy we may have, we will normally contact you within 72 hours of receiving your application. If you wish to apply for further roles please do so.
IntaPeople are seeking a motivated Mid level Business Intelligence Analyst to join the BI and Data team. We re looking for candidates who have strong communication skills with the ability to translate technical information to non-technical stakeholders and peers. The ideal candidate will have a strong analytical mindset and a deep understanding of how to present data visualisations effectively to deliver actionable insights and be proficient in Power BI and Microsoft SQL Server. To succeed in this role, the candidate should have a wealth of experience in a similar position, demonstrating a proven track record of delivering high-quality BI solutions in a business-focused environment.You will be responsible for delivering insightful Power BI dashboards to the business and stakeholders whilst designing, developing, and maintaining their business intelligence reporting estate. Technical Skills (at a glance) Experience as a BI Analyst, Data Analyst, Reporting Analyst or relateable role. Proven strong background in relational databases and data modelling. Demonstrable proficiency in SQL for data extraction, manipulation, and analysis. Strong experience with Microsoft Power BI, including designing and publishing shared datasets in Power BI Service. Demonstrated proficiency in Microsoft Office Suite, with advanced Excel skills (e.g., pivot tables, advanced formulas) etc. Hands-on experience with Python would be advantageous but not essential Key Responsibilities (but not limited to) Collaborate with stakeholders to translate business requirements into clear and comprehensive BI reporting specifications Design, develop, and implement robust business intelligence solutions that align with operational needs and strategic goals Develop and maintain insightful and interactive reports and dashboards that empower strategic decision-making across the organization Build and manage efficient BI data models Generate reports for internal and external stakeholders, ensuring data integrity and clarity Enhance existing reporting tools and develop innovative new reporting solutions to meet evolving business needs Ensure the delivery of high-quality, user-friendly dashboards and reports that consistently meet or exceed stakeholder expectations Proactively troubleshoot and resolve data errors and reporting issues to maintain data accuracy and system reliability Recommend and implement strategic improvements to BI reporting processes to enhance efficiency and effectiveness Provide support and training to team members and the wider business community to promote data literacy and effective utilization of BI tools Role overview at a glance Business Intelligence Analyst Starting salary of £40,000 - £42,000 depending on experience Starting on 25 days annual leave per year Hybrid working - 3 days onsite - Near Newport Free parking on-site Bonus Scheme based on performance Private Medical Healthcare Group Life Insurance (4x basic annual salary) Employee Assistance Programme Cycle to Work Scheme Enhanced Maternity & Paternity Benefits Performance and Development Framework Long service awards. This role is a hybrid role with a 3-day office requirement for collaboration, workshops and stakeholder meetings per week on-site in the Cardiff/Newport area (South Wales). Please note we can not provide sponsorship to candidates who are not eligible to live and work within the UK without restriction. For more information please call Nathan Handley on (phone number removed) or click APPLY now for immediate consideration.
May 04, 2026
Full time
IntaPeople are seeking a motivated Mid level Business Intelligence Analyst to join the BI and Data team. We re looking for candidates who have strong communication skills with the ability to translate technical information to non-technical stakeholders and peers. The ideal candidate will have a strong analytical mindset and a deep understanding of how to present data visualisations effectively to deliver actionable insights and be proficient in Power BI and Microsoft SQL Server. To succeed in this role, the candidate should have a wealth of experience in a similar position, demonstrating a proven track record of delivering high-quality BI solutions in a business-focused environment.You will be responsible for delivering insightful Power BI dashboards to the business and stakeholders whilst designing, developing, and maintaining their business intelligence reporting estate. Technical Skills (at a glance) Experience as a BI Analyst, Data Analyst, Reporting Analyst or relateable role. Proven strong background in relational databases and data modelling. Demonstrable proficiency in SQL for data extraction, manipulation, and analysis. Strong experience with Microsoft Power BI, including designing and publishing shared datasets in Power BI Service. Demonstrated proficiency in Microsoft Office Suite, with advanced Excel skills (e.g., pivot tables, advanced formulas) etc. Hands-on experience with Python would be advantageous but not essential Key Responsibilities (but not limited to) Collaborate with stakeholders to translate business requirements into clear and comprehensive BI reporting specifications Design, develop, and implement robust business intelligence solutions that align with operational needs and strategic goals Develop and maintain insightful and interactive reports and dashboards that empower strategic decision-making across the organization Build and manage efficient BI data models Generate reports for internal and external stakeholders, ensuring data integrity and clarity Enhance existing reporting tools and develop innovative new reporting solutions to meet evolving business needs Ensure the delivery of high-quality, user-friendly dashboards and reports that consistently meet or exceed stakeholder expectations Proactively troubleshoot and resolve data errors and reporting issues to maintain data accuracy and system reliability Recommend and implement strategic improvements to BI reporting processes to enhance efficiency and effectiveness Provide support and training to team members and the wider business community to promote data literacy and effective utilization of BI tools Role overview at a glance Business Intelligence Analyst Starting salary of £40,000 - £42,000 depending on experience Starting on 25 days annual leave per year Hybrid working - 3 days onsite - Near Newport Free parking on-site Bonus Scheme based on performance Private Medical Healthcare Group Life Insurance (4x basic annual salary) Employee Assistance Programme Cycle to Work Scheme Enhanced Maternity & Paternity Benefits Performance and Development Framework Long service awards. This role is a hybrid role with a 3-day office requirement for collaboration, workshops and stakeholder meetings per week on-site in the Cardiff/Newport area (South Wales). Please note we can not provide sponsorship to candidates who are not eligible to live and work within the UK without restriction. For more information please call Nathan Handley on (phone number removed) or click APPLY now for immediate consideration.
Business Intelligence Analyst - Job Ref (phone number removed) Watford - 3/4 days per week Salary - 50k - 60k Our client is undergoing a strategic transformation to unify an enterprise-wide data and analytics ecosystem. As a leading player in the foods sector, this organization is integrating multiple ERP platforms into a single, scalable Azure-based data platform, designed to deliver real-time insights and data-driven decision making across Commercial, Supply Chain, Finance and Operations. The BI & AI Solutions function is central to delivering high-value reporting, analytics, and modern data capabilities that propel revenue growth, margin optimisation, inventory control, and operational excellence. This is a unique opportunity to contribute to a mature data strategy within a dynamic, consumer-focused manufacturing environment. Job Description We are seeking a seasoned Business Intelligence & Systems Analyst to join our client in Watford, operating in a hybrid model with four days in the office. The role centers on designing, building and refining BI reporting and analytics on a modern Azure data platform. You will translate business needs into scalable data solutions, optimise data models, and deliver dashboards that empower cross-functional teams. In addition, you will mentor junior analysts and help uplift data modelling, reporting standards, and development practices across the BI team. This role is outcome-focused, with a strong emphasis on driving revenue, margins and operational efficiency through data-driven insights. Key Responsibilities Design, develop, and maintain Power BI dashboards used across Commercial, Supply Chain, Finance, and Operations. Build and optimise data models using SQL, Power Query, and DAX. Transform, clean, and validate datasets to ensure high data quality and reliability. Deliver reporting solutions that provide clear insights into sales performance, margin, stock, and operational metrics. Identify and implement opportunities to automate reporting and manual processes. Develop and maintain Power Automate workflows to improve business efficiency. Document data logic, business rules, and reporting methodologies to ensure consistency and scalability. Requirements 4+ years of BI or Data Analytics experience. Proficiency in SQL (joins, aggregations, ETL logic, stored procedures). Expertise in Power BI (modeling, DAX, visuals, Power Query). Strong data modelling concepts (facts/dimensions, relationships). Advanced Excel skills (formulas, pivots). Solid understanding of data warehousing and data flows. Experience mentoring junior team members. Analytical mindset with meticulous attention to detail. Excellent communication with both technical and non-technical stakeholders. Benefits Competitive compensation package with bonus potential. Comprehensive health and wellbeing benefits. Hybrid work model with four days in the Watford office and remote options. Clear career progression with mentoring and leadership development. Training and professional development opportunities. Inclusive, collaborative culture that values data-driven decision making. Other As part of a major ERP consolidation project and Azure-based data ecosystem transformation, you will help drive a data-centric culture across the organisation, enabling real-time insights and informed decision making.
May 03, 2026
Full time
Business Intelligence Analyst - Job Ref (phone number removed) Watford - 3/4 days per week Salary - 50k - 60k Our client is undergoing a strategic transformation to unify an enterprise-wide data and analytics ecosystem. As a leading player in the foods sector, this organization is integrating multiple ERP platforms into a single, scalable Azure-based data platform, designed to deliver real-time insights and data-driven decision making across Commercial, Supply Chain, Finance and Operations. The BI & AI Solutions function is central to delivering high-value reporting, analytics, and modern data capabilities that propel revenue growth, margin optimisation, inventory control, and operational excellence. This is a unique opportunity to contribute to a mature data strategy within a dynamic, consumer-focused manufacturing environment. Job Description We are seeking a seasoned Business Intelligence & Systems Analyst to join our client in Watford, operating in a hybrid model with four days in the office. The role centers on designing, building and refining BI reporting and analytics on a modern Azure data platform. You will translate business needs into scalable data solutions, optimise data models, and deliver dashboards that empower cross-functional teams. In addition, you will mentor junior analysts and help uplift data modelling, reporting standards, and development practices across the BI team. This role is outcome-focused, with a strong emphasis on driving revenue, margins and operational efficiency through data-driven insights. Key Responsibilities Design, develop, and maintain Power BI dashboards used across Commercial, Supply Chain, Finance, and Operations. Build and optimise data models using SQL, Power Query, and DAX. Transform, clean, and validate datasets to ensure high data quality and reliability. Deliver reporting solutions that provide clear insights into sales performance, margin, stock, and operational metrics. Identify and implement opportunities to automate reporting and manual processes. Develop and maintain Power Automate workflows to improve business efficiency. Document data logic, business rules, and reporting methodologies to ensure consistency and scalability. Requirements 4+ years of BI or Data Analytics experience. Proficiency in SQL (joins, aggregations, ETL logic, stored procedures). Expertise in Power BI (modeling, DAX, visuals, Power Query). Strong data modelling concepts (facts/dimensions, relationships). Advanced Excel skills (formulas, pivots). Solid understanding of data warehousing and data flows. Experience mentoring junior team members. Analytical mindset with meticulous attention to detail. Excellent communication with both technical and non-technical stakeholders. Benefits Competitive compensation package with bonus potential. Comprehensive health and wellbeing benefits. Hybrid work model with four days in the Watford office and remote options. Clear career progression with mentoring and leadership development. Training and professional development opportunities. Inclusive, collaborative culture that values data-driven decision making. Other As part of a major ERP consolidation project and Azure-based data ecosystem transformation, you will help drive a data-centric culture across the organisation, enabling real-time insights and informed decision making.
