At a Glance
- Tasks: Drive AI-powered analytics to enhance decision-making across various business domains.
- Company: Join Numan, a fast-growing health tech company transforming patient care.
- Benefits: Enjoy share options, generous holiday, health insurance, and flexible working.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Shape the future of healthcare analytics while making a real impact.
- Qualifications: 3-5+ years in analytics engineering with strong SQL and dbt skills.
The predicted salary is between 60000 - 80000 £ per year.
About Numan Founded in 2018, we’ve already grown to be a 300+ team distributed across the globe, united by a singular mission: empowering people to take control of their health. Numan is transforming health: we’ve built a cutting‑edge platform that integrates diagnostics, medication, supplements, digital programmes, and doctor consultations. Giving people the tools they need to maximise life. To deliver on our transformative mission, we are guided by our 5 company values: Patients first. Learn fast. Own the quality. Succeed together. Care deeply. Backed by top‑tier investors, Numan is already having a positive impact on hundreds of thousands of patients here in the UK, and we want you to help us deliver this mission!
The role As Numan enters an exciting new chapter of AI‑powered analytics, we’re looking for a Senior Analytics Engineer to sit at the core of our data platform and drive better decisions across the entire business. This is one of the most varied analytics engineering roles in digital health. Your work will span multiple domains – from commercial performance and marketing effectiveness through to health outcomes analytics and clinical operations – giving you a genuinely broad view of the business and the full patient journey. We are embarking on a strategic investment in AI‑powered analytics, with a full remit to explore and adopt the latest and greatest technologies. You’ll be shaping which tools, approaches, and practices Numan adopts as a company.
Reporting to the Head of Data Engineering and collaborating closely with data scientists, analysts, and stakeholders across the business.
Tech stack Our current Data Platform comprises: Google BigQuery, Fivetran, dbt Cloud, Looker & Amplitude. As a senior hire, you will be a key voice in shaping the next generation of our stack – particularly as we build out our AI‑powered analytics capabilities.
- Designing, building, and maintaining scalable, well‑tested dbt data models that power analytics across commercial, marketing, health outcomes, and clinical operations domains.
- Acting as a senior technical voice within the analytics engineering function, setting standards for data modelling, testing, documentation, and code quality.
- Leading end‑to‑end delivery of analytical projects: scoping requirements, managing dependencies, identifying critical path and risks, and communicating progress to stakeholders.
- Mentoring data scientist and analyst data modelling capabilities; build a culture of best practices, code review, and continuous learning across the data team.
- Partnering with clinical, commercial, and product teams to translate complex domain requirements into robust, well‑documented data models.
- Evaluating, trialing, and championing AI‑powered analytics tooling – shaping Numan’s strategic direction on emerging technologies and what we adopt as a company.
- Driving data quality, reliability, and governance across the transformation layer, proactively monitoring consumption and resolving issues before they impact stakeholders.
We’re looking for:
- 3–5+ years of experience in an analytics engineering, data engineering, or business intelligence role.
- Proven track record of owning end‑to‑end data model design across multiple business domains – ideally spanning at least two of: commercial, marketing, health outcomes, or clinical/operational analytics.
- Strong stakeholder management skills, with the confidence to translate complex technical concepts for non‑technical audiences including clinical and commercial teams.
- Experience setting technical standards and delivering high‑quality work within a small, high‑performing data team.
- Self‑motivated and pragmatic, with a strong instinct for high‑impact solutions over over‑engineering.
- Genuine curiosity about AI and emerging analytics technologies, with a desire to help shape how Numan adopts them.
- Expert‑level SQL: window functions, CTEs, advanced aggregations, and cloud warehouse‑specific optimisation.
- Deep proficiency in dbt: models, macros, tests, packages, documentation, exposures, and CI/CD integration.
- Strong working knowledge of Google BigQuery (or equivalent cloud data warehouse): query optimisation, incremental loading strategies, and cost management.
- Experience with Looker (LookML) or an equivalent BI layer, with a solid understanding of consumption‑layer design.
- Dimensional data modelling expertise: star schemas, slowly changing dimensions, and when to denormalise.
- Strong written and verbal communication skills; able to deliver clear, insight‑led presentations that tell a compelling story to both technical and non‑technical stakeholders.
- Understanding of data privacy, governance, and compliance requirements – with particular sensitivity to regulated healthcare data.
- Practical experience with AI‑assisted analytics workflows, or a strong demonstrated appetite to work at the frontier of AI in analytics.
It’s a bonus if you have:
- Worked in a digital consumer scale‑up, with experience of delivering high quality work at pace.
- Hands‑on experience evaluating or implementing AI/LLM tooling in a data or analytics context (e.g. semantic layers, natural language querying, AI‑assisted documentation).
Benefits:
- Share options.
- 25 days holiday, plus bank holidays (increasing to 30 the longer you stay with Numan).
- Health insurance with Vitality.
- Electric car salary sacrifice scheme with Octopus.
- Enhanced maternity and parental leave.
- Nursery benefit provided by YellowNest.
- Employee assistance programme (access to therapy, financial planning and discounts).
- Generous pension (includes both employee and employer contributions).
- Flexible working options, including a dog‑friendly office in Farringdon.
- Personal training and development budget via Learnerbly.
- Wellhub membership, giving you access to over 2,000 locations in the UK.
- Cycle to work scheme.
- Season ticket loan.
- Discount on Numan products for your friends and family.
- Paid volunteering days.
- An additional 2 weeks off once you reach your 5th anniversary with Numan.
Diversity at Numan At Numan, people are at the heart of who we are. We recognise and value the unique perspectives and experiences that individuals from all backgrounds bring. We promote innovation and creativity, enabling us to tackle things from various viewpoints and are committed to equal opportunities and continuously strive to create a workplace where everyone feels respected, heard, and valued. Embracing diversity isn't just our goal; it’s our strength, driving us towards a more inclusive future.
Senior Analytics Engineer employer: Numan
Numan is an exceptional employer that prioritises employee well-being and professional growth, offering a vibrant work culture in the heart of Farringdon. With a commitment to innovation in health technology, employees benefit from flexible working options, generous holiday allowances, and a supportive environment that fosters continuous learning and collaboration. Join us to be part of a mission-driven team that values diversity and empowers individuals to take control of their health while enjoying unique perks like a dog-friendly office and personal development budgets.
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We think this is how you could land Senior Analytics Engineer
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We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Numan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Numan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
