MJR Analytics
Brighton, Sussex
Salary:£70k - £90k+ bonus Location:Brighton or Remote (UK only) About Us Rittman Analytics is an analytics consultancy based in Brighton, UK. We work with organizations to modernise and scale their data analytics capabilities based on a modern data stack based on Google Cloud and other partner technology. We work with our clients to design, build and support innovative analytics solutions that empower end users to answer their own questions - we are experts in the modern data stack. Why Rittman Analytics? We are a company made up of passionate engineers and consultants. We are striving to be a Great Place to Work with a culture that encourages you to be your best self. Our Values Pursue Expertise: A commitment to deep technical and individual expertise through continuous learning to ensure that our services and people are industry leading Delivering on our Promise : A steadfast commitment to delivering on the promise we make to clients, ensuring that solutions are delivered impeccably and add significant value Integrity & Transparency: A pledge to foster transparent communication with our team and our clients, ensuring clients can rely on both the data and the commitment of the firm The Role As Senior Analytics Consultant at Rittman Analytics you will lead the delivery of key client projects for our clients in the UK, Northern Europe and North America. Your responsibilities will involve building trusted relationships with our clients, finding creative ways to solve problems, scoping projects and delivering those projects either on your own or as the lead in a small team. Successful candidates will bring experience with Google Cloud, our strategic technology partner, along with modern data stack technologies such as dbt, Looker, Fivetran, Segment and Cube. Ideally you'll already have a relevant Google Cloud Certification (Data Engineer is preferred) or be committed to obtaining that certification within your first three months with us. Most importantly, you should have experience and a desire to work within a consulting environment, thriving on managing multiple concurrent projects and delivering to deadlines and client expectations. You'll work with stakeholders at all levels of technical experience and seniority, work on cutting-edge projects with a top-tier team and engage with stakeholders of all levels of technical and management seniority on projects you lead or deliver as part of a team. You'll be responsible for 1. Delivering and Leading Analytics Projects You will deliver - and often lead - analytics and data engineering projects, including: Configuring and implementing cloud and database infrastructure using tools such as Google Cloud, Google BigQuery and Google Cloud SQL Transforming and modelling data using tools such as dbt, Dataform and Cube Developing dashboards, explorations and data visualisations using tools such as Looker, Preset, Power BI and Superset Developing test plans and testing data to ensure it is of high quality Running and leading projects using Agile scrum/kanban techniques, and ensuring deliverables are in a reviewable state before sprint ceremonies Leading technical discussions with clients where you propose approaches, defend decisions and control the narrative on your workstream. Developing and implementing monitoring and optimisation strategies for development workloads 2. Architecting Solutions Leading the discovery of, and documenting, business logic and data definitions using language understandable to a non-technical audience, using terms they can read and validate Working with prospects, customers and RA sales/senior management teams to create solution architectures Designing data flows, data models and data orchestrations 3. Owning Project Blockers and Risk A Senior Analytics Consultant is commercially accountable for the success of their engagement - not just technically contributing to it. This means: Identifying blockers early and driving them to closure yourself, rather than waiting for a Delivery Manager or colleague to formalise the next step on your behalf Proactively calling alignment sessions when ambiguity exists - on KPI definitions, data models, or business logic - rather than assuming agreement has been reached Committing to and booking follow-up actions with clients immediately during or after a session, not "as soon as I can" Ensuring that critical preparatory work is complete before going offline, and escalating delivery risk in advance if it cannot be 4. Managing Your Own Readiness Obtaining Google Cloud Data Engineer certification within six months of you starting this role, if you don't already have it Maintaining your dbt and Looker developer certifications Arriving on a project already proficient in the agreed toolset, or having flagged skill gaps with your project manager before they surface in client-facing sessions Staying updated with the latest data engineering technologies and methodologies, including gaining familiarity with new tools and techniques ready for work you are likely to be assigned to 5. Mentoring and Internal Communication Mentoring and guiding more junior consultants Using daily standups to proactively signal progress, flag risks, and name dependencies - not just describe what you're currently doing Escalating clearly when blocked or uncertain rather than assuming things are "probably fine" 6. Collaboration Collaborating closely with our Head of Delivery and CEO to align analytics and data engineering work with client and business goals. What We're Looking For Must-Haves: Real-world commercial experience with Google Cloud, Looker, dbt, Google BigQuery Experience in a consulting role and a strong ability to manage multiple concurrent engagements Outstanding analytical, problem-solving and technical skills, a head for numbers and an attention to detail An excellent grasp of SQL, data modelling, cloud data warehousing and database design Experience using software development methods (git, CI/CD, code reuse etc) in an analytics context Confidence in your ability to manage relationships (partners, clients, prospects, etc.) and to work constructively with stakeholders at all levels of technical and data maturity Based in the UK, excellent written and spoken English skills Nice-to-Haves An entrepreneurial mindset that is motivated by both the commercial and technical aspects of working for a consultancy, bringing a desire and interest in helping us, and our clients, grow their businesses Experience and certifications in other modern data stack tools such as Fivetran, Snowflake, Segment, Airbyte etc Based in Sussex or South-Eastern England What Success Looks Like as a Senior Analytics Consultant Client Leadership You lead technical discussions in client sessions - proposing approaches, defending decisions, and steering the conversation, rather than deferring to colleagues to explain your workstream Client stakeholders regard you as the person accountable for your area of the engagement; you control the narrative and proactively call meetings when alignment is needed You schedule follow-up commitments with clients immediately when they arise, not reactively after the fact Ownership and Proactivity You drive blockers to closure yourself - KPI sign-offs, alignment sessions, outstanding decisions - without needing a Delivery Manager to prompt or formalise the next step on your behalf You identify and communicate risks early, in standups and in writing, with enough notice for the team to respond; you do not go offline with critical work incomplete without first escalating the risk You self-remediate skill or knowledge gaps before they surface in client-facing sessions Delivery Quality Your deliverables - business definitions, data models, KPI documentation - are written for their intended audience, in plain language that client stakeholders can read and validate without interpretation Your work is in a reviewable state before sprint ceremonies, not mid-action when the team needs to estimate or plan around it Technical Contribution You are sought out as a mentor and the "teammate of record" for your area of expertise You regularly scope and stage work into well-defined milestones You lead adoption of new technologies and methodologies when necessary You contribute actively to our internal Knowledge Base, Technical Tutorials and internal Analytics Commercial Contribution You build outstanding rapport and reputation with clients You support our Head of Delivery and CEO in winning and retaining successful clients Benefits 26 Days Annual Leave + your birthday, or next working day if it falls on a weekend A bonus scheme that pays 3% of the project revenue above your target that is attributed to you over a quarter, conditional on achieving 9 or greater in NPS Survey results for projects you're involved in Flexible Bank Holidays policy, enabling you to exchange a government-set public holiday for a more convenient time off, such as to celebrate a religious festival (post-probation period) Company Bonus Scheme Life Assurance Private Medical Insurance . click apply for full job details
Salary:£70k - £90k+ bonus Location:Brighton or Remote (UK only) About Us Rittman Analytics is an analytics consultancy based in Brighton, UK. We work with organizations to modernise and scale their data analytics capabilities based on a modern data stack based on Google Cloud and other partner technology. We work with our clients to design, build and support innovative analytics solutions that empower end users to answer their own questions - we are experts in the modern data stack. Why Rittman Analytics? We are a company made up of passionate engineers and consultants. We are striving to be a Great Place to Work with a culture that encourages you to be your best self. Our Values Pursue Expertise: A commitment to deep technical and individual expertise through continuous learning to ensure that our services and people are industry leading Delivering on our Promise : A steadfast commitment to delivering on the promise we make to clients, ensuring that solutions are delivered impeccably and add significant value Integrity & Transparency: A pledge to foster transparent communication with our team and our clients, ensuring clients can rely on both the data and the commitment of the firm The Role As Senior Analytics Consultant at Rittman Analytics you will lead the delivery of key client projects for our clients in the UK, Northern Europe and North America. Your responsibilities will involve building trusted relationships with our clients, finding creative ways to solve problems, scoping projects and delivering those projects either on your own or as the lead in a small team. Successful candidates will bring experience with Google Cloud, our strategic technology partner, along with modern data stack technologies such as dbt, Looker, Fivetran, Segment and Cube. Ideally you'll already have a relevant Google Cloud Certification (Data Engineer is preferred) or be committed to obtaining that certification within your first three months with us. Most importantly, you should have experience and a desire to work within a consulting environment, thriving on managing multiple concurrent projects and delivering to deadlines and client expectations. You'll work with stakeholders at all levels of technical experience and seniority, work on cutting-edge projects with a top-tier team and engage with stakeholders of all levels of technical and management seniority on projects you lead or deliver as part of a team. You'll be responsible for 1. Delivering and Leading Analytics Projects You will deliver - and often lead - analytics and data engineering projects, including: Configuring and implementing cloud and database infrastructure using tools such as Google Cloud, Google BigQuery and Google Cloud SQL Transforming and modelling data using tools such as dbt, Dataform and Cube Developing dashboards, explorations and data visualisations using tools such as Looker, Preset, Power BI and Superset Developing test plans and testing data to ensure it is of high quality Running and leading projects using Agile scrum/kanban techniques, and ensuring deliverables are in a reviewable state before sprint ceremonies Leading technical discussions with clients where you propose approaches, defend decisions and control the narrative on your workstream. Developing and implementing monitoring and optimisation strategies for development workloads 2. Architecting Solutions Leading the discovery of, and documenting, business logic and data definitions using language understandable to a non-technical audience, using terms they can read and validate Working with prospects, customers and RA sales/senior management teams to create solution architectures Designing data flows, data models and data orchestrations 3. Owning Project Blockers and Risk A Senior Analytics Consultant is commercially accountable for the success of their engagement - not just technically contributing to it. This means: Identifying blockers early and driving them to closure yourself, rather than waiting for a Delivery Manager or colleague to formalise the next step on your behalf Proactively calling alignment sessions when ambiguity exists - on KPI definitions, data models, or business logic - rather than assuming agreement has been reached Committing to and booking follow-up actions with clients immediately during or after a session, not "as soon as I can" Ensuring that critical preparatory work is complete before going offline, and escalating delivery risk in advance if it cannot be 4. Managing Your Own Readiness Obtaining Google Cloud Data Engineer certification within six months of you starting this role, if you don't already have it Maintaining your dbt and Looker developer certifications Arriving on a project already proficient in the agreed toolset, or having flagged skill gaps with your project manager before they surface in client-facing sessions Staying updated with the latest data engineering technologies and methodologies, including gaining familiarity with new tools and techniques ready for work you are likely to be assigned to 5. Mentoring and Internal Communication Mentoring and guiding more junior consultants Using daily standups to proactively signal progress, flag risks, and name dependencies - not just describe what you're currently doing Escalating clearly when blocked or uncertain rather than assuming things are "probably fine" 6. Collaboration Collaborating closely with our Head of Delivery and CEO to align analytics and data engineering work with client and business goals. What We're Looking For Must-Haves: Real-world commercial experience with Google Cloud, Looker, dbt, Google BigQuery Experience in a consulting role and a strong ability to manage multiple concurrent engagements Outstanding analytical, problem-solving and technical skills, a head for numbers and an attention to detail An excellent grasp of SQL, data modelling, cloud data warehousing and database design Experience using software development methods (git, CI/CD, code reuse etc) in an analytics context Confidence in your ability to manage relationships (partners, clients, prospects, etc.) and to work constructively with stakeholders at all levels of technical and data maturity Based in the UK, excellent written and spoken English skills Nice-to-Haves An entrepreneurial mindset that is motivated by both the commercial and technical aspects of working for a consultancy, bringing a desire and interest in helping us, and our clients, grow their businesses Experience and certifications in other modern data stack tools such as Fivetran, Snowflake, Segment, Airbyte etc Based in Sussex or South-Eastern England What Success Looks Like as a Senior Analytics Consultant Client Leadership You lead technical discussions in client sessions - proposing approaches, defending decisions, and steering the conversation, rather than deferring to colleagues to explain your workstream Client stakeholders regard you as the person accountable for your area of the engagement; you control the narrative and proactively call meetings when alignment is needed You schedule follow-up commitments with clients immediately when they arise, not reactively after the fact Ownership and Proactivity You drive blockers to closure yourself - KPI sign-offs, alignment sessions, outstanding decisions - without needing a Delivery Manager to prompt or formalise the next step on your behalf You identify and communicate risks early, in standups and in writing, with enough notice for the team to respond; you do not go offline with critical work incomplete without first escalating the risk You self-remediate skill or knowledge gaps before they surface in client-facing sessions Delivery Quality Your deliverables - business definitions, data models, KPI documentation - are written for their intended audience, in plain language that client stakeholders can read and validate without interpretation Your work is in a reviewable state before sprint ceremonies, not mid-action when the team needs to estimate or plan around it Technical Contribution You are sought out as a mentor and the "teammate of record" for your area of expertise You regularly scope and stage work into well-defined milestones You lead adoption of new technologies and methodologies when necessary You contribute actively to our internal Knowledge Base, Technical Tutorials and internal Analytics Commercial Contribution You build outstanding rapport and reputation with clients You support our Head of Delivery and CEO in winning and retaining successful clients Benefits 26 Days Annual Leave + your birthday, or next working day if it falls on a weekend A bonus scheme that pays 3% of the project revenue above your target that is attributed to you over a quarter, conditional on achieving 9 or greater in NPS Survey results for projects you're involved in Flexible Bank Holidays policy, enabling you to exchange a government-set public holiday for a more convenient time off, such as to celebrate a religious festival (post-probation period) Company Bonus Scheme Life Assurance Private Medical Insurance . click apply for full job details