Senior Analytics Engineer

Role Overview

• 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.

Requirements

• 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.

Tech Stack

• BigQuery
• Cloud
• SQL

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.