We re currently looking for a Data Analyst on a fixed term basis until 31st December 2026, to help us deliver our mission. This is a full-time position. What s it like working at the IOP? The IOP is a friendly, inclusive and ambitious organisation. Diversity and inclusion are central to how we work. We focus on supporting our people to thrive, offering competitive pay, great development opportunities and a generous benefits package. Some of our benefits include: An excellent pension scheme Private medical insurance, life assurance, dental insurance and a healthcare cash plan Eye care vouchers, annual flu vaccinations, long service awards and access to an employee assistance programme 25 days annual leave as a standard, in addition to floating bank holidays Flexible working opportunities The Role What will I be doing? You ll be responsible for a range of activities, including: Analysing data to understand the health of British and Irish physics- including student and teacher numbers, research trends, performance of physics-powered businesses, and understanding the extent to which physics is becoming a diverse and inclusive discipline Presenting findings in dashboards, reports, and briefings to tell compelling stories using data from multiple internal and external data sources Gathering and explaining data relating to internal measures of success, such as performance of our awards programmes, membership numbers, and public engagement activities Writing and collaborating on code to get data analysis-ready efficiently and reliably Projects you may work on include: Performance Measures Framework keeping the IOP up to date on measures of success within the IOP s activities and in UK & Irish Physics Impact projects involving deep-dives into areas of special interest, such as Medical Physics and the role of physics in the Green Economy. Other ad hoc projects as required- the team seeks to build a strong evidence base relating to physics; we look to apply meaningful definitions appropriate to the domain and create datasets that allow us to discover new insights on what is happening in physics in the UK and Ireland. This typically involves collaboration with subject matter experts, creating repeatable data workflows, and analysing outputs, which may be used for IOP reports, programmes, and influencing activities. Who will I work with? You ll work closely with a range of colleagues and stakeholders, including: Colleagues in the Science, Business, and Data Insights department, including a small unit focussed on data work Colleagues in the IOP and IOP Publishing, including senior leadership Members of the IOP and the broader physics community Ideally, we hope you ll apply if you bring: Essential: Demonstrable aptitude for working with data, including understanding of data structures and principles, through educational programmes or equivalent experience Ability to convert messy information into usable data Ability to present information to expert and non-expert audiences Ability to work simultaneously across multiple projects and prioritise tasks Nice to have: Experience in python coding, GitHub, and creating compelling data visualisations Understanding of the physics landscape in the UK & Ireland At the IOP, we know that great candidates don t always tick every box. If your experience looks a little different, but you bring enthusiasm, curiosity and a willingness to learn, we d love to hear from you. How to apply Alongside your CV, please include a cover letter explaining how you meet the person specification. How will I be working? We operate a flexible, trust based working model that gives colleagues autonomy over how, when and where they work, while recognising the value of in person collaboration. You will be assigned a base office, with hybrid working offered as standard. You will engage in regular in person collaboration with your team (as operational appropriate), as well as with colleagues across the wider organisation, to ensure effective operational alignment and to support our inclusive approach to working. As an organization we meet in person once a quarter at our Head Office in Kings Cross, London. Why join the IOP? The IOP is the professional body and learned society for physics in the UK and Ireland. As a charity, we re passionate about increasing public understanding of physics and supporting a diverse and inclusive physics community. We re committed to creating a welcoming and inclusive culture for everyone. If you need any reasonable adjustments during the application or recruitment process, please let us know we re always happy to help. Please note whilst we are unable to offer visa sponsorship for this role, we warmly encourage applications from candidates who already have the right to work in the UK and Ireland.
May 19, 2026
Full time
We re currently looking for a Data Analyst on a fixed term basis until 31st December 2026, to help us deliver our mission. This is a full-time position. What s it like working at the IOP? The IOP is a friendly, inclusive and ambitious organisation. Diversity and inclusion are central to how we work. We focus on supporting our people to thrive, offering competitive pay, great development opportunities and a generous benefits package. Some of our benefits include: An excellent pension scheme Private medical insurance, life assurance, dental insurance and a healthcare cash plan Eye care vouchers, annual flu vaccinations, long service awards and access to an employee assistance programme 25 days annual leave as a standard, in addition to floating bank holidays Flexible working opportunities The Role What will I be doing? You ll be responsible for a range of activities, including: Analysing data to understand the health of British and Irish physics- including student and teacher numbers, research trends, performance of physics-powered businesses, and understanding the extent to which physics is becoming a diverse and inclusive discipline Presenting findings in dashboards, reports, and briefings to tell compelling stories using data from multiple internal and external data sources Gathering and explaining data relating to internal measures of success, such as performance of our awards programmes, membership numbers, and public engagement activities Writing and collaborating on code to get data analysis-ready efficiently and reliably Projects you may work on include: Performance Measures Framework keeping the IOP up to date on measures of success within the IOP s activities and in UK & Irish Physics Impact projects involving deep-dives into areas of special interest, such as Medical Physics and the role of physics in the Green Economy. Other ad hoc projects as required- the team seeks to build a strong evidence base relating to physics; we look to apply meaningful definitions appropriate to the domain and create datasets that allow us to discover new insights on what is happening in physics in the UK and Ireland. This typically involves collaboration with subject matter experts, creating repeatable data workflows, and analysing outputs, which may be used for IOP reports, programmes, and influencing activities. Who will I work with? You ll work closely with a range of colleagues and stakeholders, including: Colleagues in the Science, Business, and Data Insights department, including a small unit focussed on data work Colleagues in the IOP and IOP Publishing, including senior leadership Members of the IOP and the broader physics community Ideally, we hope you ll apply if you bring: Essential: Demonstrable aptitude for working with data, including understanding of data structures and principles, through educational programmes or equivalent experience Ability to convert messy information into usable data Ability to present information to expert and non-expert audiences Ability to work simultaneously across multiple projects and prioritise tasks Nice to have: Experience in python coding, GitHub, and creating compelling data visualisations Understanding of the physics landscape in the UK & Ireland At the IOP, we know that great candidates don t always tick every box. If your experience looks a little different, but you bring enthusiasm, curiosity and a willingness to learn, we d love to hear from you. How to apply Alongside your CV, please include a cover letter explaining how you meet the person specification. How will I be working? We operate a flexible, trust based working model that gives colleagues autonomy over how, when and where they work, while recognising the value of in person collaboration. You will be assigned a base office, with hybrid working offered as standard. You will engage in regular in person collaboration with your team (as operational appropriate), as well as with colleagues across the wider organisation, to ensure effective operational alignment and to support our inclusive approach to working. As an organization we meet in person once a quarter at our Head Office in Kings Cross, London. Why join the IOP? The IOP is the professional body and learned society for physics in the UK and Ireland. As a charity, we re passionate about increasing public understanding of physics and supporting a diverse and inclusive physics community. We re committed to creating a welcoming and inclusive culture for everyone. If you need any reasonable adjustments during the application or recruitment process, please let us know we re always happy to help. Please note whilst we are unable to offer visa sponsorship for this role, we warmly encourage applications from candidates who already have the right to work in the UK and Ireland.
AI Data Scientist - (Data & Analytics - CRA/Scorecards) I'm helping one of the world's great financial institutions recruit a Data & Analytics AI Consultant to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. They will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data. Responsibilities Conduct in-depth analysis of data available to the company and its partners. Collaborate with product managers to conduct market research and validate product needs. Develop and test AI models and algorithms, utilizing platforms like Vertex AI and BQML. Contribute to the creation of business cases for proposed AI solutions. Evaluate the feasibility and potential impact of AI projects. Provide technical guidance and support to Junior Analysts. Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning. Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities. Lead the development or projects with multiple deliverables, leveraging business and technical expertise. Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work Consultants are responsible for providing internal & external clients with analytical support and project analysis. This includes answering client queries related to data characteristics, scores and also involvement in analytical projects, for example, credit strategy development, model development and other bespoke analytics to solve client specific problems. Relevant numerical degree with a 2:1 or above Solid experience in data analysis, machine learning, and AI development. Hands-on experience with cloud-based AI platforms and tools. Proficiency in programming languages such as Python and SQL. Credit Bureau experience & Scorecards an advantage Strong analytical and problem-solving skills. Ability to work independently and as part of a team. Good communication and presentation and visualisation skills. Strong experience in a related analytical role Proven track record of designing and developing predictive models in real-world applications Experience with model performance evaluation and predictive model optimization for accuracy and efficiency Cloud certification strongly preferred Additional role-based certifications may be required depending upon region/BU requirements Experience in programming languages SQL and Python in a credit risk environment An innovative mindset and attention to This is a hybrid position requiring 3 days in the office and 2 work from home. Office is in Leeds. Salary is a basic up to £90K + exceptional package, pension, bonus. The salary is a basic between £70-90K depending on experience. This is a fantastic opportunity to work for one of the worlds great finance companies in a very visible and important position with great career development prospects
May 19, 2026
Full time
AI Data Scientist - (Data & Analytics - CRA/Scorecards) I'm helping one of the world's great financial institutions recruit a Data & Analytics AI Consultant to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. They will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data. Responsibilities Conduct in-depth analysis of data available to the company and its partners. Collaborate with product managers to conduct market research and validate product needs. Develop and test AI models and algorithms, utilizing platforms like Vertex AI and BQML. Contribute to the creation of business cases for proposed AI solutions. Evaluate the feasibility and potential impact of AI projects. Provide technical guidance and support to Junior Analysts. Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning. Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities. Lead the development or projects with multiple deliverables, leveraging business and technical expertise. Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work Consultants are responsible for providing internal & external clients with analytical support and project analysis. This includes answering client queries related to data characteristics, scores and also involvement in analytical projects, for example, credit strategy development, model development and other bespoke analytics to solve client specific problems. Relevant numerical degree with a 2:1 or above Solid experience in data analysis, machine learning, and AI development. Hands-on experience with cloud-based AI platforms and tools. Proficiency in programming languages such as Python and SQL. Credit Bureau experience & Scorecards an advantage Strong analytical and problem-solving skills. Ability to work independently and as part of a team. Good communication and presentation and visualisation skills. Strong experience in a related analytical role Proven track record of designing and developing predictive models in real-world applications Experience with model performance evaluation and predictive model optimization for accuracy and efficiency Cloud certification strongly preferred Additional role-based certifications may be required depending upon region/BU requirements Experience in programming languages SQL and Python in a credit risk environment An innovative mindset and attention to This is a hybrid position requiring 3 days in the office and 2 work from home. Office is in Leeds. Salary is a basic up to £90K + exceptional package, pension, bonus. The salary is a basic between £70-90K depending on experience. This is a fantastic opportunity to work for one of the worlds great finance companies in a very visible and important position with great career development prospects
SOC Automation Engineer As a SOC Automation Engineer, you will apply hands-on engineering expertise to design, build, and optimise automation workflows that improve the scalability and efficiency of SOC services. Working across SIEM, endpoint, and orchestration platforms (primarily Palo Alto XSOAR), you will reduce analyst workload, accelerate incident response, and enhance decision-making across customer environments. Key Responsibilities Automation Development - Design, build, and maintain scalable automation workflows across detection and response platforms. Integration & Orchestration - Deliver cross-platform automation enabling fast, reliable response actions. Lifecycle Management - Develop, deploy, and continuously optimise automation for performance, resilience, and coverage. Collaboration & Requirements Gathering - Work with SOC and engineering teams to identify automation opportunities. Documentation - Produce clear documentation to support delivery, troubleshooting, and continuous improvement. Automation Planning - Contribute to automation roadmaps, threat modelling, and use case development. Pre-Sales Support - Assist with demos, scoping, and proof-of-value activities where required. Core Duties Automation Design & Development Build and maintain workflows across SIEM, EDR, and SOAR platforms Develop reusable scripts, templates, and components Ensure solutions support secure, multi-tenant environments Integration & Response Automation Orchestrate containment, enrichment, and remediation actions Integrate with threat intelligence, cloud, vulnerability, and reporting tools Partner with analysts to map and automate response processes Lifecycle Management & Optimisation Manage automation from design through to optimisation Troubleshoot failures and refine logic Use post-incident insights to improve workflows Documentation & Standards Maintain clear documentation of workflows, dependencies, and error handling Ensure consistency and usability for wider teams Strategic Contribution Support use cases aligned to threat modelling and MITRE ATT&CK Contribute to automation playbooks and response strategies Stay current with tools, frameworks, and emerging threats Collaboration Embed automation into SOC workflows Share best practices and support team development Pre-Sales Support workshops, onboarding, and solution design where needed Stakeholder Collaboration SOC Analysts - Automate repeatable triage and response activities Platform & Detection Engineers - Integrate automation into tooling and detections Sales & Pre-Sales - Provide technical input for customer solutions Requirements 2+ years' experience in SOC, automation, or cloud security engineering Experience in managed services or multi-tenant environments Strong experience building automations across SIEM, SOAR, or EDR platforms Proficiency in scripting (e.g., Python, PowerShell) Experience working with APIs, webhooks, and authentication methods Knowledge of threat frameworks (e.g., MITRE ATT&CK) Understanding of cloud security, identity, and event-driven automation Strong communication and analytical skills Security clearance (NPPV and/or SC) may be required. Technical Knowledge Security orchestration and automation principles Scripting and integration patterns (APIs, webhooks) SOC detection and response workflows Threat intelligence integration and use case design Cloud and identity security concepts Multi-tenant automation design Certifications Essential: Hands-on experience with Palo Alto XSOAR Desirable: Palo Alto Networks Certified XSOAR Engineer Palo Alto Networks Certified Security Automation Engineer (PCSAE) Palo Alto Networks Security Operations Professional
May 19, 2026
Full time
SOC Automation Engineer As a SOC Automation Engineer, you will apply hands-on engineering expertise to design, build, and optimise automation workflows that improve the scalability and efficiency of SOC services. Working across SIEM, endpoint, and orchestration platforms (primarily Palo Alto XSOAR), you will reduce analyst workload, accelerate incident response, and enhance decision-making across customer environments. Key Responsibilities Automation Development - Design, build, and maintain scalable automation workflows across detection and response platforms. Integration & Orchestration - Deliver cross-platform automation enabling fast, reliable response actions. Lifecycle Management - Develop, deploy, and continuously optimise automation for performance, resilience, and coverage. Collaboration & Requirements Gathering - Work with SOC and engineering teams to identify automation opportunities. Documentation - Produce clear documentation to support delivery, troubleshooting, and continuous improvement. Automation Planning - Contribute to automation roadmaps, threat modelling, and use case development. Pre-Sales Support - Assist with demos, scoping, and proof-of-value activities where required. Core Duties Automation Design & Development Build and maintain workflows across SIEM, EDR, and SOAR platforms Develop reusable scripts, templates, and components Ensure solutions support secure, multi-tenant environments Integration & Response Automation Orchestrate containment, enrichment, and remediation actions Integrate with threat intelligence, cloud, vulnerability, and reporting tools Partner with analysts to map and automate response processes Lifecycle Management & Optimisation Manage automation from design through to optimisation Troubleshoot failures and refine logic Use post-incident insights to improve workflows Documentation & Standards Maintain clear documentation of workflows, dependencies, and error handling Ensure consistency and usability for wider teams Strategic Contribution Support use cases aligned to threat modelling and MITRE ATT&CK Contribute to automation playbooks and response strategies Stay current with tools, frameworks, and emerging threats Collaboration Embed automation into SOC workflows Share best practices and support team development Pre-Sales Support workshops, onboarding, and solution design where needed Stakeholder Collaboration SOC Analysts - Automate repeatable triage and response activities Platform & Detection Engineers - Integrate automation into tooling and detections Sales & Pre-Sales - Provide technical input for customer solutions Requirements 2+ years' experience in SOC, automation, or cloud security engineering Experience in managed services or multi-tenant environments Strong experience building automations across SIEM, SOAR, or EDR platforms Proficiency in scripting (e.g., Python, PowerShell) Experience working with APIs, webhooks, and authentication methods Knowledge of threat frameworks (e.g., MITRE ATT&CK) Understanding of cloud security, identity, and event-driven automation Strong communication and analytical skills Security clearance (NPPV and/or SC) may be required. Technical Knowledge Security orchestration and automation principles Scripting and integration patterns (APIs, webhooks) SOC detection and response workflows Threat intelligence integration and use case design Cloud and identity security concepts Multi-tenant automation design Certifications Essential: Hands-on experience with Palo Alto XSOAR Desirable: Palo Alto Networks Certified XSOAR Engineer Palo Alto Networks Certified Security Automation Engineer (PCSAE) Palo Alto Networks Security Operations Professional
Analytics Manager London (Hybrid - 2 days in office, Tuesdays required) Up to £90,000 base salary An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence strategic decision-making across some of the UK's most prominent banks and mortgage lenders. You'll manage a small team of analysts while staying close to delivery - combining technical expertise with business insight to shape how financial institutions use housing market data to drive smarter lending decisions. Key Responsibilities Team Leadership : Mentor and support 2-3 analysts; oversee workload and ensure high-quality output Client-Facing Analytics : Present insights directly to clients, translating complex data into strategic value Cross-Functional Collaboration : Work with product, commercial, and presales teams to develop tailored solutions Strategic Thinking : Stay ahead of market trends and customer challenges to guide analytics direction Project Delivery : Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines Innovation Support : Help evolve the product set through insight-led thinking across financial services use cases What We're Looking For 5-7 years' experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors Proven experience mentoring or managing analysts (or strong readiness to step into a team lead role) Strong technical toolkit: SQL, Python, and Excel proficiency Skilled communicator - confident presenting to both technical and non-technical audiences Experience working with or alongside banks, lenders, or credit decisioning teams Highly numerate, creative problem solver with strong business acumen Nice to Have Exposure to property, housing, or mortgage markets Experience in a fast-paced, collaborative environment Interest in combining product thinking with data analytics Ability to manage multiple projects and stakeholders Strong presentation skills and a curious, solutions-driven mindset Why Apply? Strategic, visible role with direct impact on how financial clients use data Competitive salary up to £90,000 Hybrid working - 2 days/week in the London office (Tuesdays required) Work within a high-calibre analytics team under supportive leadership Be part of a mission to simplify and modernise property data in financial decisioning Interview Process Initial interview (30-45 mins) - with Analytics Leadership Task stage - demonstrate analytical thinking and communication Final round - culture fit and stakeholder interaction One stage may take place in person at the London office (London Bridge), where possible Ready to shape the future of data in property and financial services? Apply now to join a high-performing team that blends deep analytics with real-world impact.
May 19, 2026
Full time
Analytics Manager London (Hybrid - 2 days in office, Tuesdays required) Up to £90,000 base salary An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence strategic decision-making across some of the UK's most prominent banks and mortgage lenders. You'll manage a small team of analysts while staying close to delivery - combining technical expertise with business insight to shape how financial institutions use housing market data to drive smarter lending decisions. Key Responsibilities Team Leadership : Mentor and support 2-3 analysts; oversee workload and ensure high-quality output Client-Facing Analytics : Present insights directly to clients, translating complex data into strategic value Cross-Functional Collaboration : Work with product, commercial, and presales teams to develop tailored solutions Strategic Thinking : Stay ahead of market trends and customer challenges to guide analytics direction Project Delivery : Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines Innovation Support : Help evolve the product set through insight-led thinking across financial services use cases What We're Looking For 5-7 years' experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors Proven experience mentoring or managing analysts (or strong readiness to step into a team lead role) Strong technical toolkit: SQL, Python, and Excel proficiency Skilled communicator - confident presenting to both technical and non-technical audiences Experience working with or alongside banks, lenders, or credit decisioning teams Highly numerate, creative problem solver with strong business acumen Nice to Have Exposure to property, housing, or mortgage markets Experience in a fast-paced, collaborative environment Interest in combining product thinking with data analytics Ability to manage multiple projects and stakeholders Strong presentation skills and a curious, solutions-driven mindset Why Apply? Strategic, visible role with direct impact on how financial clients use data Competitive salary up to £90,000 Hybrid working - 2 days/week in the London office (Tuesdays required) Work within a high-calibre analytics team under supportive leadership Be part of a mission to simplify and modernise property data in financial decisioning Interview Process Initial interview (30-45 mins) - with Analytics Leadership Task stage - demonstrate analytical thinking and communication Final round - culture fit and stakeholder interaction One stage may take place in person at the London office (London Bridge), where possible Ready to shape the future of data in property and financial services? Apply now to join a high-performing team that blends deep analytics with real-world impact.
Job Title: Principal Pricing Analyst Locations : This can be a largely remote position with the occasion travel to the office closest to you. We have offices based in Manchester, Stoke, London and Peterborough. Role Overview Markerstudy Group are looking for a Principal Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines. You will utilise your technical expertise, in-depth knowledge of insurance industry and market leading tools to produce creative and actionable pricing solutions. This role requires a large element of coaching team members and championing best practice across the department. Reporting to the our Associate Director, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers. Bringing best in class pricing experience, you'll be expected to provide pricing proposals considering customer and commercial outcomes, communicating these in a compelling, impactful way to all levels of stakeholders to help us make the right decisions at the right times. You'll work on multiple priorities within a fast paced, dynamic environment. You'll need to be able to manage the expectations of stakeholders alongside prioritising your workload. As a Principal Pricing Analyst, you will use your advanced analytical skills to: Be a key stakeholder influencing the direction & outcome of projects Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions Provide thought leadership on optimisation and modelling concepts Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department Lead the development of the Groups pricing capability Query large databases to extract and manipulate data that is fit for purpose Oversee and assist in the development and implementation of the market leading methodologies you've identified Continuously evaluate methodologies, understanding how they fit into the wider piece, and identify where they can be improved Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software Proficient at communicating results in a concise manner both verbally and written About us Markerstudy Group is a major force in UK general insurance market, combining scale with innovation. Markerstudy Group have deep product and distribution reach through multiple brands and an experienced leadership foundation coordinating diverse and fast-evolving business units. The Group employs more than 6,000 people across the UK.
May 19, 2026
Full time
Job Title: Principal Pricing Analyst Locations : This can be a largely remote position with the occasion travel to the office closest to you. We have offices based in Manchester, Stoke, London and Peterborough. Role Overview Markerstudy Group are looking for a Principal Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines. You will utilise your technical expertise, in-depth knowledge of insurance industry and market leading tools to produce creative and actionable pricing solutions. This role requires a large element of coaching team members and championing best practice across the department. Reporting to the our Associate Director, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers. Bringing best in class pricing experience, you'll be expected to provide pricing proposals considering customer and commercial outcomes, communicating these in a compelling, impactful way to all levels of stakeholders to help us make the right decisions at the right times. You'll work on multiple priorities within a fast paced, dynamic environment. You'll need to be able to manage the expectations of stakeholders alongside prioritising your workload. As a Principal Pricing Analyst, you will use your advanced analytical skills to: Be a key stakeholder influencing the direction & outcome of projects Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions Provide thought leadership on optimisation and modelling concepts Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department Lead the development of the Groups pricing capability Query large databases to extract and manipulate data that is fit for purpose Oversee and assist in the development and implementation of the market leading methodologies you've identified Continuously evaluate methodologies, understanding how they fit into the wider piece, and identify where they can be improved Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software Proficient at communicating results in a concise manner both verbally and written About us Markerstudy Group is a major force in UK general insurance market, combining scale with innovation. Markerstudy Group have deep product and distribution reach through multiple brands and an experienced leadership foundation coordinating diverse and fast-evolving business units. The Group employs more than 6,000 people across the UK.
Data Engineer - Celonis Location: United Kingdom (Fully remote - must live and be able to work in the UK) Job Type: Full-time Eligibility: Must have full right to work in the UK (no sponsorship available) I am very excited to offer an opportunity for a skilled Data Engineer with expertise in Celonis to join a well-established, international professional services organisation. This company is renowned for delivering data, analytics, and automation solutions to large, complex businesses, particularly in finance, operations, supply chain, and customer functions. As part of their UK delivery team, you will play a crucial role in supporting major transformation programmes through practical, hands-on data engineering. Day-to-day of the role: Design, develop, and maintain scalable data pipelines to feed Celonis from various source systems. Build, integrate, and optimise SQL Server-based data warehouse pipelines. Support migration initiatives towards a modern Microsoft Fabric architecture. Develop and maintain Celonis data models using Celonis Data Integration. Translate business and reporting requirements into technical data specifications. Write and optimise SQL and Celonis PQL queries to support dashboards and analysis. Develop Python scripts for data cleansing, transformation, and automation. Implement data quality checks and reconciliation processes across systems. Provide technical support to analysts and business users working with Celonis. Ensure adherence to data governance, security, and access control standards. Required Skills & Qualifications: Proven commercial hands-on experience with Celonis in a delivery environment. Strong experience with Celonis Data Integration and analysis development. Solid SQL skills (data transformation, optimisation, and performance tuning). Proficiency in Python for data engineering and automation tasks. Good understanding of ETL / ELT processes and data modelling. Experience working within Agile delivery teams. Strong analytical skills and meticulous attention to detail. Ability to engage effectively with both technical and non-technical stakeholders. Desirable Skills: Celonis Data Engineer certification. Experience with SQL Server and Microsoft Fabric. Experience integrating data from enterprise platforms (ERP, CRM, finance systems, etc.). Experience in a consulting or client-facing delivery role. Familiarity with cloud data platforms (Azure, AWS, or GCP). Benefits: Opportunity to work in a dynamic, international environment. Competitive salary+ bonus and benefits package. Professional development and career advancement opportunities. Flexible working arrangements (remote / hybrid). To apply for this Celonis Data Engineer position, please apply with an updated CV
May 19, 2026
Full time
Data Engineer - Celonis Location: United Kingdom (Fully remote - must live and be able to work in the UK) Job Type: Full-time Eligibility: Must have full right to work in the UK (no sponsorship available) I am very excited to offer an opportunity for a skilled Data Engineer with expertise in Celonis to join a well-established, international professional services organisation. This company is renowned for delivering data, analytics, and automation solutions to large, complex businesses, particularly in finance, operations, supply chain, and customer functions. As part of their UK delivery team, you will play a crucial role in supporting major transformation programmes through practical, hands-on data engineering. Day-to-day of the role: Design, develop, and maintain scalable data pipelines to feed Celonis from various source systems. Build, integrate, and optimise SQL Server-based data warehouse pipelines. Support migration initiatives towards a modern Microsoft Fabric architecture. Develop and maintain Celonis data models using Celonis Data Integration. Translate business and reporting requirements into technical data specifications. Write and optimise SQL and Celonis PQL queries to support dashboards and analysis. Develop Python scripts for data cleansing, transformation, and automation. Implement data quality checks and reconciliation processes across systems. Provide technical support to analysts and business users working with Celonis. Ensure adherence to data governance, security, and access control standards. Required Skills & Qualifications: Proven commercial hands-on experience with Celonis in a delivery environment. Strong experience with Celonis Data Integration and analysis development. Solid SQL skills (data transformation, optimisation, and performance tuning). Proficiency in Python for data engineering and automation tasks. Good understanding of ETL / ELT processes and data modelling. Experience working within Agile delivery teams. Strong analytical skills and meticulous attention to detail. Ability to engage effectively with both technical and non-technical stakeholders. Desirable Skills: Celonis Data Engineer certification. Experience with SQL Server and Microsoft Fabric. Experience integrating data from enterprise platforms (ERP, CRM, finance systems, etc.). Experience in a consulting or client-facing delivery role. Familiarity with cloud data platforms (Azure, AWS, or GCP). Benefits: Opportunity to work in a dynamic, international environment. Competitive salary+ bonus and benefits package. Professional development and career advancement opportunities. Flexible working arrangements (remote / hybrid). To apply for this Celonis Data Engineer position, please apply with an updated CV
Who we are GlobalData operates an intelligence platform that empowers leaders to act decisively in a world of complexity and change. By uniting proprietary data, human expertise, and purpose-built AI into a single, connected platform, we help organizations see what s coming, move faster, and lead with confidence. Our solutions are used by over 5,000 organizations across the world s largest industries, delivering tailored intelligence that supports strategic planning, innovation, risk management, and sustainable growth. Why join GlobalData? GlobalData is at a pivotal point in its growth journey and we need curious, ambitious, courageous people to support us in achieving our vision to deliver intelligence that transforms uncertainty into opportunity for the world s most successful organizations.? Our big ambitions mean that life at GlobalData is fast paced, entrepreneurial and rewarding. Working together in an intellectually challenging environment, where learning is super-charged to keep us on our toes, the highly stimulating, fast-paced, global environment we operate in, and our bold ambitions result in unique learning opportunities for our people. The role We are seeking an experienced industry professional to be our Head of Biofuels Research, based in Oxford, reporting directly to the Global Head of Agribusiness Research. This senior position plays a pivotal role in GlobalData s Agribusiness Intelligence division, providing high-level insights into global biofuels markets including FAME, RD/HVO, SAF, ethanol and related feedstocks. The Head of Biofuels Research will lead analytical outputs, drive methodological innovation, oversee client projects, and act as a subject-matter expert for both syndicated and consulting work. We require an experienced industry professional with a deep understanding of biofuel market drivers and trends. The role is instrumental in leading GlobalData s coverage of biofuel markets and delivery of our portfolio of reports, datasets, briefings, webinars and other platform content. The role will include direct management responsibility for a team of analysts, and require significant collaboration with adjacent research teams, notably Sugar and Vegetable Oils. Key responsibilities : Lead the development of supply, demand, trade, and price forecasts across the global biofuels markets. Conduct economic and policy analysis, including the impact of biofuel mandates, trade policies, sustainability regulations, and feedstock supply variability. Oversee and maintain the core databases and forecasting models that underpin GlobalData s market intelligence products. Manage and deliver bespoke client projects from feasibility studies to policy analysis and price outlook assessments ensuring accuracy, insight, and timeliness. Represent GlobalData at industry conferences, client meetings, and research trips, maintaining strong relationships with producers, refiners, traders, policymakers, and end-users. Travel internationally (%) to gather market intelligence, strengthen client relationships, and present insights at key industry events. Collaborate closely with other commodity teams (sugar, vegetable oils, etc.) to ensure analytical consistency across agribusiness markets. Support the Head of Agribusiness Intelligence and Agribusiness Consultancy Director in developing new products, methodologies, and consulting opportunities. Manage a team of analysts in the UK and India, fostering a culture of analytical excellence and professional growth. Collaborate with regional sales teams from across GlobalData, driving client engagement, renewals and new business opportunities. Role requirements: Strong grounding in agricultural economics, applied economics, or related quantitative discipline (Master s degree or above preferred). Proven experience (5+ years) in commodity market analysis, ideally within biofuels. Candidates with a combination of experience (5+ years) covering biofuels, sugar, vegetable oils, and/or related agricultural commodities will be considered. Excellent numerical, analytical, and econometric skills, with a sound understanding of supply-demand dynamics and price formation. Ability to translate complex economic trends into clear, actionable insights for commercial and policy audiences. Confident communicator, capable of engaging with clients, industry participants and policymakers globally. Highly proficient in Microsoft Excel and data management tools; experience with advanced data/programming tools (e.g. MS Power suite, Python) is an advantage. Self-motivated, detail-oriented, and comfortable managing multiple projects to tight deadlines. In addition to a rewarding career, we support our GlobalData colleagues with a range of benefits across health, finances, fitness, travel, tech and more. To find out more about the roles and benefits on offer in your region, visit (url removed) GlobalData believes strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, we are proud to be an Equal Opportunity Employer. GlobalData is determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.
May 19, 2026
Full time
Who we are GlobalData operates an intelligence platform that empowers leaders to act decisively in a world of complexity and change. By uniting proprietary data, human expertise, and purpose-built AI into a single, connected platform, we help organizations see what s coming, move faster, and lead with confidence. Our solutions are used by over 5,000 organizations across the world s largest industries, delivering tailored intelligence that supports strategic planning, innovation, risk management, and sustainable growth. Why join GlobalData? GlobalData is at a pivotal point in its growth journey and we need curious, ambitious, courageous people to support us in achieving our vision to deliver intelligence that transforms uncertainty into opportunity for the world s most successful organizations.? Our big ambitions mean that life at GlobalData is fast paced, entrepreneurial and rewarding. Working together in an intellectually challenging environment, where learning is super-charged to keep us on our toes, the highly stimulating, fast-paced, global environment we operate in, and our bold ambitions result in unique learning opportunities for our people. The role We are seeking an experienced industry professional to be our Head of Biofuels Research, based in Oxford, reporting directly to the Global Head of Agribusiness Research. This senior position plays a pivotal role in GlobalData s Agribusiness Intelligence division, providing high-level insights into global biofuels markets including FAME, RD/HVO, SAF, ethanol and related feedstocks. The Head of Biofuels Research will lead analytical outputs, drive methodological innovation, oversee client projects, and act as a subject-matter expert for both syndicated and consulting work. We require an experienced industry professional with a deep understanding of biofuel market drivers and trends. The role is instrumental in leading GlobalData s coverage of biofuel markets and delivery of our portfolio of reports, datasets, briefings, webinars and other platform content. The role will include direct management responsibility for a team of analysts, and require significant collaboration with adjacent research teams, notably Sugar and Vegetable Oils. Key responsibilities : Lead the development of supply, demand, trade, and price forecasts across the global biofuels markets. Conduct economic and policy analysis, including the impact of biofuel mandates, trade policies, sustainability regulations, and feedstock supply variability. Oversee and maintain the core databases and forecasting models that underpin GlobalData s market intelligence products. Manage and deliver bespoke client projects from feasibility studies to policy analysis and price outlook assessments ensuring accuracy, insight, and timeliness. Represent GlobalData at industry conferences, client meetings, and research trips, maintaining strong relationships with producers, refiners, traders, policymakers, and end-users. Travel internationally (%) to gather market intelligence, strengthen client relationships, and present insights at key industry events. Collaborate closely with other commodity teams (sugar, vegetable oils, etc.) to ensure analytical consistency across agribusiness markets. Support the Head of Agribusiness Intelligence and Agribusiness Consultancy Director in developing new products, methodologies, and consulting opportunities. Manage a team of analysts in the UK and India, fostering a culture of analytical excellence and professional growth. Collaborate with regional sales teams from across GlobalData, driving client engagement, renewals and new business opportunities. Role requirements: Strong grounding in agricultural economics, applied economics, or related quantitative discipline (Master s degree or above preferred). Proven experience (5+ years) in commodity market analysis, ideally within biofuels. Candidates with a combination of experience (5+ years) covering biofuels, sugar, vegetable oils, and/or related agricultural commodities will be considered. Excellent numerical, analytical, and econometric skills, with a sound understanding of supply-demand dynamics and price formation. Ability to translate complex economic trends into clear, actionable insights for commercial and policy audiences. Confident communicator, capable of engaging with clients, industry participants and policymakers globally. Highly proficient in Microsoft Excel and data management tools; experience with advanced data/programming tools (e.g. MS Power suite, Python) is an advantage. Self-motivated, detail-oriented, and comfortable managing multiple projects to tight deadlines. In addition to a rewarding career, we support our GlobalData colleagues with a range of benefits across health, finances, fitness, travel, tech and more. To find out more about the roles and benefits on offer in your region, visit (url removed) GlobalData believes strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, we are proud to be an Equal Opportunity Employer. GlobalData is determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.
CBSbutler Holdings Limited trading as CBSbutler
Corsham, Wiltshire
Role Overview We are seeking an experienced Event Management Consultant to join the Hosting and Tooling Team, supporting both operational (RUN) and project-based activities. You will work closely with Consultants, Engineers, Analysts, and client stakeholders to design, implement, and optimise enterprise event management and monitoring solutions. This role requires deep technical expertise across enterprise tooling platforms, strong analytical capability, and hands-on experience delivering scalable monitoring and automation solutions in complex environments. Key Responsibilities As an Event Management Consultant, you will: Engage directly with client teams, providing technical guidance, consultation, and operational support Design and implement event management policies for internal services and client distribution systems Perform high-level functional system analysis to support client operational and technical requirements Maintain and enhance operational tooling in alignment with service delivery objectives Contribute to project delivery activities, working closely with internal and external Project Managers Develop and maintain technical documentation, architectural diagrams, and support materials Build, configure, and maintain operational dashboards tailored to client requirements Support ongoing training, certification, and capability development within enterprise tooling environments Implement automation and integration solutions using scripting and APIs Required Skills & Experience (Must Have - Top 3) BMC TrueSight Orchestration Splunk (advanced level) Event Management (enterprise scale environments) Additional Skills & Experience Enterprise Tooling & Monitoring Proven experience with enterprise monitoring and tooling platforms BMC TrueSight, BMC Discovery, and Splunk administration and engineering Agent deployment, configuration, and lifecycle management Product installation, configuration, and customisation Monitoring & Observability Tools SNMP MIB management Experience with tools such as: Zabbix Nagios HP OpenView SolarWinds IBM Tivoli Monitoring IBM Tivoli Netcool Operating Systems Experience across: Windows Server environments Linux (RHEL/Ubuntu) IBM AIX Scripting & Automation Strong scripting capability in: Python PowerShell Experience developing automation scripts and system integrations REST API integration experience Networking Knowledge Strong understanding of networking principles, protocols, and monitoring requirements Splunk Expertise Advanced Splunk capability including: Splunk Query Language (SPL) Rule creation and complex correlation logic Dashboard development and visualisation Data modelling and search optimisation SQL experience for data analysis and integration If this role is of interest, apply now or email me at (url removed)
May 18, 2026
Contractor
Role Overview We are seeking an experienced Event Management Consultant to join the Hosting and Tooling Team, supporting both operational (RUN) and project-based activities. You will work closely with Consultants, Engineers, Analysts, and client stakeholders to design, implement, and optimise enterprise event management and monitoring solutions. This role requires deep technical expertise across enterprise tooling platforms, strong analytical capability, and hands-on experience delivering scalable monitoring and automation solutions in complex environments. Key Responsibilities As an Event Management Consultant, you will: Engage directly with client teams, providing technical guidance, consultation, and operational support Design and implement event management policies for internal services and client distribution systems Perform high-level functional system analysis to support client operational and technical requirements Maintain and enhance operational tooling in alignment with service delivery objectives Contribute to project delivery activities, working closely with internal and external Project Managers Develop and maintain technical documentation, architectural diagrams, and support materials Build, configure, and maintain operational dashboards tailored to client requirements Support ongoing training, certification, and capability development within enterprise tooling environments Implement automation and integration solutions using scripting and APIs Required Skills & Experience (Must Have - Top 3) BMC TrueSight Orchestration Splunk (advanced level) Event Management (enterprise scale environments) Additional Skills & Experience Enterprise Tooling & Monitoring Proven experience with enterprise monitoring and tooling platforms BMC TrueSight, BMC Discovery, and Splunk administration and engineering Agent deployment, configuration, and lifecycle management Product installation, configuration, and customisation Monitoring & Observability Tools SNMP MIB management Experience with tools such as: Zabbix Nagios HP OpenView SolarWinds IBM Tivoli Monitoring IBM Tivoli Netcool Operating Systems Experience across: Windows Server environments Linux (RHEL/Ubuntu) IBM AIX Scripting & Automation Strong scripting capability in: Python PowerShell Experience developing automation scripts and system integrations REST API integration experience Networking Knowledge Strong understanding of networking principles, protocols, and monitoring requirements Splunk Expertise Advanced Splunk capability including: Splunk Query Language (SPL) Rule creation and complex correlation logic Dashboard development and visualisation Data modelling and search optimisation SQL experience for data analysis and integration If this role is of interest, apply now or email me at (url removed)
Job Title: Snowflake / Data Architect Salary: Paying up to 90,000 per annum Location: Wembley London - 5 days on-site Our client, a well-established and diversified multinational organisation, is seeking a Snowflake / Data Architect to join their team. Skills Solid experience in Data Engineering or Data Architecture, with a minimum of 4 years specialising in Snowflake platform design and governance. Data Architecture: Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case. Technical Skills: Expert SQL and Python; hands-on experience with dbt (data build tool) or equivalent transformation frameworks. AWS Integration : Solid understanding of AWS IAM, S3 data lake patterns, and PrivateLink for cross-cloud data connectivity. AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration. Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders. Duties Data Modelling Standard: defining Star Schema patterns, Snowflake object hierarchies, and modelling conventions that serve as the Group-wide standard for all data products. Cross-Cloud Orchestration : Design and implement secure, high-throughput data pipelines connecting AWS S3 and Azure APIs through Snowflake - ensuring data integrity, lineage tracking, and end-to-end auditability. Snowflake Governance : Own the full security model for the Snowflake platform - RBAC policy design, dynamic data masking, row-level security, and comprehensive audit logging across all environments. FinOps for Data: Monitor Snowflake credit consumption patterns, identify and remediate high-cost query anti-patterns, and implement warehouse scheduling strategies to reduce operational data spend. AI Readiness: Architect data stores purpose-built for LLM consumption - including vector databases, embedding pipelines, and RAG-compatible data structures that will serve as the foundation for Bestway's AI product layer. Data Contracts : Partner with Business Analysts to formally define and document 'Data Contracts' between systems - creating clear, agreed interfaces between producers and consumers across the data platform.
May 16, 2026
Full time
Job Title: Snowflake / Data Architect Salary: Paying up to 90,000 per annum Location: Wembley London - 5 days on-site Our client, a well-established and diversified multinational organisation, is seeking a Snowflake / Data Architect to join their team. Skills Solid experience in Data Engineering or Data Architecture, with a minimum of 4 years specialising in Snowflake platform design and governance. Data Architecture: Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case. Technical Skills: Expert SQL and Python; hands-on experience with dbt (data build tool) or equivalent transformation frameworks. AWS Integration : Solid understanding of AWS IAM, S3 data lake patterns, and PrivateLink for cross-cloud data connectivity. AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration. Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders. Duties Data Modelling Standard: defining Star Schema patterns, Snowflake object hierarchies, and modelling conventions that serve as the Group-wide standard for all data products. Cross-Cloud Orchestration : Design and implement secure, high-throughput data pipelines connecting AWS S3 and Azure APIs through Snowflake - ensuring data integrity, lineage tracking, and end-to-end auditability. Snowflake Governance : Own the full security model for the Snowflake platform - RBAC policy design, dynamic data masking, row-level security, and comprehensive audit logging across all environments. FinOps for Data: Monitor Snowflake credit consumption patterns, identify and remediate high-cost query anti-patterns, and implement warehouse scheduling strategies to reduce operational data spend. AI Readiness: Architect data stores purpose-built for LLM consumption - including vector databases, embedding pipelines, and RAG-compatible data structures that will serve as the foundation for Bestway's AI product layer. Data Contracts : Partner with Business Analysts to formally define and document 'Data Contracts' between systems - creating clear, agreed interfaces between producers and consumers across the data platform.
An outstanding opportunity has arisen for a Senior Quant Analyst with a passion for sports, data, and quantitative modelling to join a high-performing and innovative team based in Central London. This role is ideal for an experienced quantitative professional who thrives on solving complex analytical problems, working with large-scale datasets, and developing sophisticated models that directly influence trading and decision-making processes. You will collaborate closely with analysts, traders, and developers in a fast-paced, data-driven environment where your insight and expertise will have a genuine impact. The successful candidate will be intellectually curious, commercially aware, and comfortable taking ownership of projects while contributing as a senior member of a collaborative team. A strong academic background in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or a related field is essential. Previous exposure to sports trading, betting markets, or predictive modelling within sport would be highly advantageous. Alongside a highly competitive salary, the company offers an exceptional office environment and the opportunity to work with cutting-edge data and technology in one of the most exciting sectors in quantitative analytics. Key Responsibilities Analyse, interpret, and model large and complex datasets Develop and enhance quantitative models to support trading strategies and market analysis Apply statistical and probabilistic techniques to generate actionable insights Collaborate with traders, analysts, and software developers to improve systems and performance Identify new opportunities through data-driven research and innovation Contribute to the continuous improvement of analytical methodologies and tools Skills & Experience Required Strong programming skills in several of the following: Python, C#, C++, Java Advanced knowledge of mathematical modelling, statistics, and probability Proven analytical and problem-solving ability Experience working with large-scale data and data science methodologies Excellent communication and stakeholder engagement skills High level of accuracy and attention to detail Ability to work independently and within a collaborative team environment Genuine interest in sports analytics, trading, or betting markets Preferred Background MSc or PhD in Mathematics, Statistics, Computer Science, Physics, or another highly quantitative discipline Previous experience within sports trading, quantitative finance, betting analytics, or predictive modelling environments would be beneficial Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
May 16, 2026
Full time
An outstanding opportunity has arisen for a Senior Quant Analyst with a passion for sports, data, and quantitative modelling to join a high-performing and innovative team based in Central London. This role is ideal for an experienced quantitative professional who thrives on solving complex analytical problems, working with large-scale datasets, and developing sophisticated models that directly influence trading and decision-making processes. You will collaborate closely with analysts, traders, and developers in a fast-paced, data-driven environment where your insight and expertise will have a genuine impact. The successful candidate will be intellectually curious, commercially aware, and comfortable taking ownership of projects while contributing as a senior member of a collaborative team. A strong academic background in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or a related field is essential. Previous exposure to sports trading, betting markets, or predictive modelling within sport would be highly advantageous. Alongside a highly competitive salary, the company offers an exceptional office environment and the opportunity to work with cutting-edge data and technology in one of the most exciting sectors in quantitative analytics. Key Responsibilities Analyse, interpret, and model large and complex datasets Develop and enhance quantitative models to support trading strategies and market analysis Apply statistical and probabilistic techniques to generate actionable insights Collaborate with traders, analysts, and software developers to improve systems and performance Identify new opportunities through data-driven research and innovation Contribute to the continuous improvement of analytical methodologies and tools Skills & Experience Required Strong programming skills in several of the following: Python, C#, C++, Java Advanced knowledge of mathematical modelling, statistics, and probability Proven analytical and problem-solving ability Experience working with large-scale data and data science methodologies Excellent communication and stakeholder engagement skills High level of accuracy and attention to detail Ability to work independently and within a collaborative team environment Genuine interest in sports analytics, trading, or betting markets Preferred Background MSc or PhD in Mathematics, Statistics, Computer Science, Physics, or another highly quantitative discipline Previous experience within sports trading, quantitative finance, betting analytics, or predictive modelling environments would be beneficial Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
I am looking to speak with a sharp Renewable Analyst to join a growing Energy Decarbonisation team in central London. This is a rare chance to join a specialist decarbonisation team at a well-respected, internationally active consultancy. You'll work directly with senior partners on energy strategy, renewable project analysis, and sustainability consulting for corporate clients across Uk/EU - with real exposure to project delivery from day one. The role needs to start before 1 July to allow for a proper handover period, so we're moving quickly. Renewables Analyst Responsibility Analysing business cases for solar, wind, and battery storage projects - including IRR, NPV, PPA rates, payback, and carbon savings Building and maintaining financial and energy models in Excel and Power BI Assessing behind-the-meter solar project delivery and process Producing reports, dashboards, and visualisations for client-facing use Supporting power purchase agreement (PPA) analysis and renewable energy strategy work Conducting market research to underpin analytical outputs Collaborating across multidisciplinary teams on ESG and sustainability projects Renewables Analyst Specification Essential Degree in Finance, Economics, Engineering, Maths, Science or similar analytical field Strong Excel modelling skills (including VBA) Experience with Power BI or similar visualisation tools Understanding of solar and/or battery storage business models Knowledge of PPA structures (onsite and export) Highly analytical with strong attention to detail Nice to Have Python or SQL experience AutoCAD (2D) proficiency QGIS or mapping tool experience Solar design software (Helioscope, PV Sol or similar) Experience leading or contributing to ground-mounted solar schemes Consulting or client-facing background What this role offers to an ambitious Renewables Analyst Global consultancy with operations across the UK, Europe, and North America Flat structure with merit-based progression - your work gets noticed Work directly with senior leaders on high-impact decarbonisation mandates Strong ESG and sustainability credentials with a growing client base Central London office with a collaborative, expert team Genuine variety - corporate energy strategy, renewables, due diligence, and more Contact Cory Taylor at calibre Search for more details. Calibre Search promote equality in the workplace and we welcome applications from all suitably skilled or qualified candidates regardless of their sex, race, disability, religion/beliefs, sexual orientation or age. We act as both an employment agency and employment business.
May 16, 2026
Full time
I am looking to speak with a sharp Renewable Analyst to join a growing Energy Decarbonisation team in central London. This is a rare chance to join a specialist decarbonisation team at a well-respected, internationally active consultancy. You'll work directly with senior partners on energy strategy, renewable project analysis, and sustainability consulting for corporate clients across Uk/EU - with real exposure to project delivery from day one. The role needs to start before 1 July to allow for a proper handover period, so we're moving quickly. Renewables Analyst Responsibility Analysing business cases for solar, wind, and battery storage projects - including IRR, NPV, PPA rates, payback, and carbon savings Building and maintaining financial and energy models in Excel and Power BI Assessing behind-the-meter solar project delivery and process Producing reports, dashboards, and visualisations for client-facing use Supporting power purchase agreement (PPA) analysis and renewable energy strategy work Conducting market research to underpin analytical outputs Collaborating across multidisciplinary teams on ESG and sustainability projects Renewables Analyst Specification Essential Degree in Finance, Economics, Engineering, Maths, Science or similar analytical field Strong Excel modelling skills (including VBA) Experience with Power BI or similar visualisation tools Understanding of solar and/or battery storage business models Knowledge of PPA structures (onsite and export) Highly analytical with strong attention to detail Nice to Have Python or SQL experience AutoCAD (2D) proficiency QGIS or mapping tool experience Solar design software (Helioscope, PV Sol or similar) Experience leading or contributing to ground-mounted solar schemes Consulting or client-facing background What this role offers to an ambitious Renewables Analyst Global consultancy with operations across the UK, Europe, and North America Flat structure with merit-based progression - your work gets noticed Work directly with senior leaders on high-impact decarbonisation mandates Strong ESG and sustainability credentials with a growing client base Central London office with a collaborative, expert team Genuine variety - corporate energy strategy, renewables, due diligence, and more Contact Cory Taylor at calibre Search for more details. Calibre Search promote equality in the workplace and we welcome applications from all suitably skilled or qualified candidates regardless of their sex, race, disability, religion/beliefs, sexual orientation or age. We act as both an employment agency and employment business.
Senior Guidewire Developer. Full time, Mon - Fri 37.5 hours per week. Flexibility, bonus scheme and many more fantastic benefits! Join the Applications team driving the Guidewire Cloud rollout across Europe. You'll design, develop, and maintain legacy systems using Guidewire and other technologies, delivering high-quality solutions within a cross-functional team. This role requires strong technical and problem-solving skills, with a focus on supporting Guidewire Policy, Billing, Digital, and related apps. You'll also mentor support teams and collaborate with Business Owners, Analysts, Testers, and the Tech Lead to deliver on strategic goals. CHALLENGED NOW AND-EXPERT NEXT. Lead Technical Strategy & Architecture Provide end-to-end technical leadership on the Guidewire platform, aligning architecture with enterprise IT strategy. Advocate for scalable, maintainable solutions that minimise custom development and maximise reuse of core capabilities. Stakeholder Influence & Governance Serve as a trusted technical advisor to business and IT, guiding decisions to maintain platform integrity and align with strategy. Promote configuration over customisation to reduce technical debt and speed up delivery. Advanced Solution Design & Development Design and build high-performance Guidewire components (PolicyCentre, BillingCentre, ClaimCentre) for longevity and extensibility. Lead by example with hands-on development of key modules and integrations. Deployment Oversight & Lifecycle Management Own the deployment strategy for Guidewire features, ensuring smooth integration across environments. Monitor system health and address performance, scalability, and reliability issues proactively. Requirements Consolidation & Platform Optimisation Work with business analysts and product owners to gather requirements and design robust, platform-aligned solutions that support future needs and long-term agility. Agile Leadership & Engineering Excellence Promote Agile practices and modern engineering across teams. Mentor developers in clean code, TDD, CI/CD, and DevOps to build a high-performing delivery culture. Quality Assurance & Technical Standards Establish and enforce coding standards, design patterns, and architecture principles. Lead code reviews and audits to uphold best practices and ensure high software quality. Innovation & Continuous Improvement Keep up with Guidewire updates, industry trends, and emerging tech. Drive innovation and continuous improvement to foster a culture of technical excellence. Essential Extensive commercial software development experience Deep expertise in Guidewire InsuranceSuite v10 (ClaimCentre, PolicyCentre, BillingCentre) configuration and customisation Experience with Guidewire Cloud migration Strong understanding of general insurance and claims processes Proven integration experience with downstream systems, including finance, payment gateways, telephony, and document management Skilled in integrating third-party data feeds into cloud platforms Experience migrating data from legacy systems to Guidewire Ability to produce clear high- and low-level design documentation Experience reconciling data between Guidewire and enterprise data warehouses Strong communication skills for working with business and technical teams Comfortable engaging directly with customers and stakeholders Familiarity with full SDLC Guidewire ACE certification Experience in Agile environments (Scrum, SAFe) Flexible and adaptable in dynamic environments Languages & Technologies GOSU, Java, XML (XSD, XPath), PCF, SQL, REST and SOAP web services Tools & Platforms Bitbucket (or similar), Jenkins or TeamCity (CI/CD), Linux CLI Desirable Skills/knowledge/experience: (As applicable) Python (tooling, reconciliation scripts) Experience with internal triage and reconciliation tools Docker, Kubernetes Monitoring tools (AppDynamics, Splunk) Cloud platforms (AWS, Azure), especially Guidewire Cloud Background in Insurance or Financial Services beyond core claims/policy Experience leading or mentoring developers or contributing to solution architecture Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We value flexibility and understand that life happens. Whether it s attending a school play or waiting for a delivery, we support a healthy balance between home and work. Our culture is built on trust, choice, and mutual respect. We re committed to fostering a diverse, equitable, and inclusive environment embracing neurodiversity and ensuring everyone has the tools and support they need to thrive. We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday 10% Discretionary Annual Bonus Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance Health & Wellbeing: Get money back on health expenses (optical, dental, physio), free flu jab vouchers, 24/7 virtual GP access, an employee assistance programme, and enhanced family-friendly policies including a £200 baby bonus. Financial & Lifestyle Benefits: Enjoy £250 towards driving lessons , an interest-free season ticket loan , cycle-to-work discounts, Wagestream for financial flexibility , and pension advice to support your retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
May 15, 2026
Full time
Senior Guidewire Developer. Full time, Mon - Fri 37.5 hours per week. Flexibility, bonus scheme and many more fantastic benefits! Join the Applications team driving the Guidewire Cloud rollout across Europe. You'll design, develop, and maintain legacy systems using Guidewire and other technologies, delivering high-quality solutions within a cross-functional team. This role requires strong technical and problem-solving skills, with a focus on supporting Guidewire Policy, Billing, Digital, and related apps. You'll also mentor support teams and collaborate with Business Owners, Analysts, Testers, and the Tech Lead to deliver on strategic goals. CHALLENGED NOW AND-EXPERT NEXT. Lead Technical Strategy & Architecture Provide end-to-end technical leadership on the Guidewire platform, aligning architecture with enterprise IT strategy. Advocate for scalable, maintainable solutions that minimise custom development and maximise reuse of core capabilities. Stakeholder Influence & Governance Serve as a trusted technical advisor to business and IT, guiding decisions to maintain platform integrity and align with strategy. Promote configuration over customisation to reduce technical debt and speed up delivery. Advanced Solution Design & Development Design and build high-performance Guidewire components (PolicyCentre, BillingCentre, ClaimCentre) for longevity and extensibility. Lead by example with hands-on development of key modules and integrations. Deployment Oversight & Lifecycle Management Own the deployment strategy for Guidewire features, ensuring smooth integration across environments. Monitor system health and address performance, scalability, and reliability issues proactively. Requirements Consolidation & Platform Optimisation Work with business analysts and product owners to gather requirements and design robust, platform-aligned solutions that support future needs and long-term agility. Agile Leadership & Engineering Excellence Promote Agile practices and modern engineering across teams. Mentor developers in clean code, TDD, CI/CD, and DevOps to build a high-performing delivery culture. Quality Assurance & Technical Standards Establish and enforce coding standards, design patterns, and architecture principles. Lead code reviews and audits to uphold best practices and ensure high software quality. Innovation & Continuous Improvement Keep up with Guidewire updates, industry trends, and emerging tech. Drive innovation and continuous improvement to foster a culture of technical excellence. Essential Extensive commercial software development experience Deep expertise in Guidewire InsuranceSuite v10 (ClaimCentre, PolicyCentre, BillingCentre) configuration and customisation Experience with Guidewire Cloud migration Strong understanding of general insurance and claims processes Proven integration experience with downstream systems, including finance, payment gateways, telephony, and document management Skilled in integrating third-party data feeds into cloud platforms Experience migrating data from legacy systems to Guidewire Ability to produce clear high- and low-level design documentation Experience reconciling data between Guidewire and enterprise data warehouses Strong communication skills for working with business and technical teams Comfortable engaging directly with customers and stakeholders Familiarity with full SDLC Guidewire ACE certification Experience in Agile environments (Scrum, SAFe) Flexible and adaptable in dynamic environments Languages & Technologies GOSU, Java, XML (XSD, XPath), PCF, SQL, REST and SOAP web services Tools & Platforms Bitbucket (or similar), Jenkins or TeamCity (CI/CD), Linux CLI Desirable Skills/knowledge/experience: (As applicable) Python (tooling, reconciliation scripts) Experience with internal triage and reconciliation tools Docker, Kubernetes Monitoring tools (AppDynamics, Splunk) Cloud platforms (AWS, Azure), especially Guidewire Cloud Background in Insurance or Financial Services beyond core claims/policy Experience leading or mentoring developers or contributing to solution architecture Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We value flexibility and understand that life happens. Whether it s attending a school play or waiting for a delivery, we support a healthy balance between home and work. Our culture is built on trust, choice, and mutual respect. We re committed to fostering a diverse, equitable, and inclusive environment embracing neurodiversity and ensuring everyone has the tools and support they need to thrive. We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday 10% Discretionary Annual Bonus Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance Health & Wellbeing: Get money back on health expenses (optical, dental, physio), free flu jab vouchers, 24/7 virtual GP access, an employee assistance programme, and enhanced family-friendly policies including a £200 baby bonus. Financial & Lifestyle Benefits: Enjoy £250 towards driving lessons , an interest-free season ticket loan , cycle-to-work discounts, Wagestream for financial flexibility , and pension advice to support your retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
Senior Product Analyst - £80,000 (Hybrid - London) Industry: Global Consumer Marketplace / App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core product domain Drive deep product analytics to uncover opportunities for growth and engagement Design, analyse, and interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/B testing experience (design + interpretation) Strong understanding of ETL/debugging data issues Excellent communication and stakeholder management skills Commercially-minded with experience balancing user and business needs Bonus: marketplace experience or exposure to ML-driven products Why Apply High-impact role shaping core product decisions Great benefits, flexible work, and strong wellbeing support Opportunity to work closely with ML teams and influence a global user experience Find out more and apply via the link below.
May 15, 2026
Full time
Senior Product Analyst - £80,000 (Hybrid - London) Industry: Global Consumer Marketplace / App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core product domain Drive deep product analytics to uncover opportunities for growth and engagement Design, analyse, and interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/B testing experience (design + interpretation) Strong understanding of ETL/debugging data issues Excellent communication and stakeholder management skills Commercially-minded with experience balancing user and business needs Bonus: marketplace experience or exposure to ML-driven products Why Apply High-impact role shaping core product decisions Great benefits, flexible work, and strong wellbeing support Opportunity to work closely with ML teams and influence a global user experience Find out more and apply via the link below.
Lead Analyst, Pricing and Promotions London - hybrid 2x a week Up to £60,000 This is a high impact role within a newly formed pricing and promotions analytics team, created to meet growing demand for smarter, data led commercial decision making. You will sit at the centre of pricing strategy, combining hands on analytics with senior stakeholder influence and leadership responsibility. The Company They are a large, complex UK consumer business operating at significant scale, with millions of customers and high volumes of transactional data. The organisation is investing heavily in pricing capability, advanced analytics and AI driven commercial insight. This team has strong visibility across the business and works closely with senior commercial leaders on high profile initiatives. The Role You will play a key role in shaping pricing and promotions decisions across the business, balancing long term strategic projects with fast paced commercial requests. Lead pricing and promotions analysis to support business wide commercial decisions Analyse competitor pricing and recommend data led responses Deliver clear, impactful pricing performance insight to senior stakeholders Support pricing resets, optimisation initiatives and test and learn activity Apply advanced analytics including regression modelling and incrementality analysis Translate commercial questions into robust analytical approaches and recommendations Contribute to the development of AI enabled pricing analytics capability Work closely with pricing leadership and SLT facing teams Use SQL and Python to interrogate data and generate commercial insight Line manage and develop a junior analyst Your Skills and Experience Strong commercial and pricing analytics experience within fast paced environments Deep expertise in SQL and solid working knowledge of Python Experience with pricing analytics, pricing elasticity or promotional optimisation Confident working with senior stakeholders and influencing decision making Comfortable operating in visible teams where priorities can shift quickly What They Offer Salary up to £60,000 Hybrid working with one day per week in London Comprehensive benefits package Clear opportunity to shape a growing pricing analytics function and progress your career How to Apply Apply now to learn more about this opportunity and discuss how your experience could make an impact.
May 15, 2026
Full time
Lead Analyst, Pricing and Promotions London - hybrid 2x a week Up to £60,000 This is a high impact role within a newly formed pricing and promotions analytics team, created to meet growing demand for smarter, data led commercial decision making. You will sit at the centre of pricing strategy, combining hands on analytics with senior stakeholder influence and leadership responsibility. The Company They are a large, complex UK consumer business operating at significant scale, with millions of customers and high volumes of transactional data. The organisation is investing heavily in pricing capability, advanced analytics and AI driven commercial insight. This team has strong visibility across the business and works closely with senior commercial leaders on high profile initiatives. The Role You will play a key role in shaping pricing and promotions decisions across the business, balancing long term strategic projects with fast paced commercial requests. Lead pricing and promotions analysis to support business wide commercial decisions Analyse competitor pricing and recommend data led responses Deliver clear, impactful pricing performance insight to senior stakeholders Support pricing resets, optimisation initiatives and test and learn activity Apply advanced analytics including regression modelling and incrementality analysis Translate commercial questions into robust analytical approaches and recommendations Contribute to the development of AI enabled pricing analytics capability Work closely with pricing leadership and SLT facing teams Use SQL and Python to interrogate data and generate commercial insight Line manage and develop a junior analyst Your Skills and Experience Strong commercial and pricing analytics experience within fast paced environments Deep expertise in SQL and solid working knowledge of Python Experience with pricing analytics, pricing elasticity or promotional optimisation Confident working with senior stakeholders and influencing decision making Comfortable operating in visible teams where priorities can shift quickly What They Offer Salary up to £60,000 Hybrid working with one day per week in London Comprehensive benefits package Clear opportunity to shape a growing pricing analytics function and progress your career How to Apply Apply now to learn more about this opportunity and discuss how your experience could make an impact.
Job Title: Snowflake Data Architect Salary: Paying up to 90,000 per annum Location: Wembley London - 5 days on-site Our client, a well-established and diversified multinational organisation, is seeking a Snowflake / Data Architect to join their team. Skills Solid experience in Data Engineering or Data Architecture, with a minimum of 4 years specialising in Snowflake platform design and governance. Data Architecture: Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case. Technical Skills: Expert SQL and Python; hands-on experience with dbt (data build tool) or equivalent transformation frameworks. AWS Integration : Solid understanding of AWS IAM, S3 data lake patterns, and PrivateLink for cross-cloud data connectivity. AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration. Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders. Duties Data Modelling Standard: defining Star Schema patterns, Snowflake object hierarchies, and modelling conventions that serve as the Group-wide standard for all data products. Cross-Cloud Orchestration : Design and implement secure, high-throughput data pipelines connecting AWS S3 and Azure APIs through Snowflake - ensuring data integrity, lineage tracking, and end-to-end auditability. Snowflake Governance : Own the full security model for the Snowflake platform - RBAC policy design, dynamic data masking, row-level security, and comprehensive audit logging across all environments. FinOps for Data: Monitor Snowflake credit consumption patterns, identify and remediate high-cost query anti-patterns, and implement warehouse scheduling strategies to reduce operational data spend. AI Readiness: Architect data stores purpose-built for LLM consumption - including vector databases, embedding pipelines, and RAG-compatible data structures that will serve as the foundation for Bestway's AI product layer. Data Contracts : Partner with Business Analysts to formally define and document 'Data Contracts' between systems - creating clear, agreed interfaces between producers and consumers across the data platform.
May 14, 2026
Full time
Job Title: Snowflake Data Architect Salary: Paying up to 90,000 per annum Location: Wembley London - 5 days on-site Our client, a well-established and diversified multinational organisation, is seeking a Snowflake / Data Architect to join their team. Skills Solid experience in Data Engineering or Data Architecture, with a minimum of 4 years specialising in Snowflake platform design and governance. Data Architecture: Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case. Technical Skills: Expert SQL and Python; hands-on experience with dbt (data build tool) or equivalent transformation frameworks. AWS Integration : Solid understanding of AWS IAM, S3 data lake patterns, and PrivateLink for cross-cloud data connectivity. AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration. Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders. Duties Data Modelling Standard: defining Star Schema patterns, Snowflake object hierarchies, and modelling conventions that serve as the Group-wide standard for all data products. Cross-Cloud Orchestration : Design and implement secure, high-throughput data pipelines connecting AWS S3 and Azure APIs through Snowflake - ensuring data integrity, lineage tracking, and end-to-end auditability. Snowflake Governance : Own the full security model for the Snowflake platform - RBAC policy design, dynamic data masking, row-level security, and comprehensive audit logging across all environments. FinOps for Data: Monitor Snowflake credit consumption patterns, identify and remediate high-cost query anti-patterns, and implement warehouse scheduling strategies to reduce operational data spend. AI Readiness: Architect data stores purpose-built for LLM consumption - including vector databases, embedding pipelines, and RAG-compatible data structures that will serve as the foundation for Bestway's AI product layer. Data Contracts : Partner with Business Analysts to formally define and document 'Data Contracts' between systems - creating clear, agreed interfaces between producers and consumers across the data platform.
Are you looking for a fresh challenge, with a forward-thinking organisation within the high-tech engineering sector? The Hyde Group are established Industry experts within Aerospace Engineering and have a new vacancy for a ERP Data Analyst working at our divisional head office in Dukinfield. About us We are one of the UK's largest and most trusted engineering companies, providing products and services to Aerospace, Nuclear, Energy and Scientific sectors. We have successfully supplied to the Aerospace industry for over 50 years. We are currently on track to achieve our strong growth plans and we pride ourselves on delivering right first-time solutions and going the extra mile to delight our customers. About the opportunity This is a great opportunity to join a reputable business with a strong set of core values in a friendly supportive environment. We have a strong focus on developing our people with the potential to further your career. Our salaries are competitive and we also offer a generous holiday entitlement of 33 days inclusive of bank holidays along with a fantastic benefits package. As an ERP Data Analyst, you ll support reporting, analysis, and data quality initiatives across the business as we undertake a major ERP transformation. You ll work closely with internal stakeholders and gain hands-on experience in a dynamic, data-heavy environment, with the potential to learn project delivery skills and the functional operation of IFS ERP solutions. Main Duties Data extraction & preparation: Collecting, cleaning, and transforming data from legacy SAP systems ready for migration to a new IFS ERP solution. Reconciling data across multiple business streams and gaining sign off from senior stakeholders. Reporting & visualisation : Building and maintaining dashboards and reports to show progress and data delivery management. Data quality monitoring: Ensuring accuracy, consistency, and integrity across data sources. Stakeholder collaboration : Turning business questions into clear, actionable insights. Desired Skills Experience with SQL, PLSQL, Python or other scripting languages. Knowledge of ETL processes or data transformation concepts. Familiarity with IFS or other ERP systems. An interest in data-driven technology environments. Desired Experience Strong Excel skills and basic SQL knowledge. Experience with data manipulation tools. Excellent analytical and problem-solving skills. Ability to communicate insights clearly to non-technical stakeholders. An IT or consulting based degree or equivalent experience. What we offer Competitive salary. Generous annual leave entitlement. Exciting benefits package with access to discounts from leading retailers. Purpose built sites with free parking. Discounted gym membership. Excellent career development opportunities available. Cycle to work scheme. Diversity and Inclusion The Hyde Group are committed to creating an inclusive environment where our employees can reach their full potential. We welcome applications from candidates from a diverse range of backgrounds in particular groups who are currently under represented in our sector. All our roles require the need to obtain pre-employment security screening checks including referencing. If this sounds like the ideal opportunity for you, then we d love to hear from you.
May 13, 2026
Full time
Are you looking for a fresh challenge, with a forward-thinking organisation within the high-tech engineering sector? The Hyde Group are established Industry experts within Aerospace Engineering and have a new vacancy for a ERP Data Analyst working at our divisional head office in Dukinfield. About us We are one of the UK's largest and most trusted engineering companies, providing products and services to Aerospace, Nuclear, Energy and Scientific sectors. We have successfully supplied to the Aerospace industry for over 50 years. We are currently on track to achieve our strong growth plans and we pride ourselves on delivering right first-time solutions and going the extra mile to delight our customers. About the opportunity This is a great opportunity to join a reputable business with a strong set of core values in a friendly supportive environment. We have a strong focus on developing our people with the potential to further your career. Our salaries are competitive and we also offer a generous holiday entitlement of 33 days inclusive of bank holidays along with a fantastic benefits package. As an ERP Data Analyst, you ll support reporting, analysis, and data quality initiatives across the business as we undertake a major ERP transformation. You ll work closely with internal stakeholders and gain hands-on experience in a dynamic, data-heavy environment, with the potential to learn project delivery skills and the functional operation of IFS ERP solutions. Main Duties Data extraction & preparation: Collecting, cleaning, and transforming data from legacy SAP systems ready for migration to a new IFS ERP solution. Reconciling data across multiple business streams and gaining sign off from senior stakeholders. Reporting & visualisation : Building and maintaining dashboards and reports to show progress and data delivery management. Data quality monitoring: Ensuring accuracy, consistency, and integrity across data sources. Stakeholder collaboration : Turning business questions into clear, actionable insights. Desired Skills Experience with SQL, PLSQL, Python or other scripting languages. Knowledge of ETL processes or data transformation concepts. Familiarity with IFS or other ERP systems. An interest in data-driven technology environments. Desired Experience Strong Excel skills and basic SQL knowledge. Experience with data manipulation tools. Excellent analytical and problem-solving skills. Ability to communicate insights clearly to non-technical stakeholders. An IT or consulting based degree or equivalent experience. What we offer Competitive salary. Generous annual leave entitlement. Exciting benefits package with access to discounts from leading retailers. Purpose built sites with free parking. Discounted gym membership. Excellent career development opportunities available. Cycle to work scheme. Diversity and Inclusion The Hyde Group are committed to creating an inclusive environment where our employees can reach their full potential. We welcome applications from candidates from a diverse range of backgrounds in particular groups who are currently under represented in our sector. All our roles require the need to obtain pre-employment security screening checks including referencing. If this sounds like the ideal opportunity for you, then we d love to hear from you.
Please note this is a training course and fees apply Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
May 13, 2026
Full time
Please note this is a training course and fees apply Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
Please note this is a training course and fees apply Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
May 13, 2026
Full time
Please note this is a training course and fees apply Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
Please note this is a training course and fees apply Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
May 13, 2026
Full time
Please note this is a training course and fees apply Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
Please note this is a training course and fees apply Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of 50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: Junior Data Analyst - 30,000 Data Analyst - 50,000 Business Data Analyst - 67,500 Data Analytics Analyst - 80,000 Business Analysts - 60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
May 13, 2026
Full time
Please note this is a training course and fees apply Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of 50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: Junior Data Analyst - 30,000 Data Analyst - 50,000 Business Data Analyst - 67,500 Data Analytics Analyst - 80,000 Business Analysts - 60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
