Numan
Analytics Engineer (Contractor)
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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
We're looking for a contractor to join us for 3-months with an immediate start. 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.
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You'll be
- 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.
You'll have
- 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.
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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.
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