Senior Analytics Engineer

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 someone who has: 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). \n Our

benefits include... 📈 - 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.

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