Senior Analytics Engineer

About This Opportunity

We are representing a confidential digital health organization in their search for a Senior Analytics Engineer based in London. Our client is a growing healthcare platform serving hundreds of thousands of patients across the UK, and they're entering an exciting phase of AI-powered analytics transformation.

This role offers exceptional breadth across the analytics function. You'll work across commercial performance, marketing effectiveness, health outcomes analytics, and clinical operations—gaining end-to-end visibility of the patient journey and business operations. Reporting to the Head of Data Engineering, you'll collaborate closely with data scientists, analysts, and stakeholders throughout the organization.

Responsibilities

• Design, build, and maintain scalable, well-tested dbt data models powering analytics across commercial, marketing, health outcomes, and clinical operations domains
• Serve as a senior technical voice within the analytics engineering function, establishing standards for data modelling, testing, documentation, and code quality
• Lead end-to-end delivery of analytical projects: scoping requirements, managing dependencies, identifying critical paths and risks, and communicating progress to stakeholders
• Mentor data scientists and analysts on data modelling capabilities; cultivate a culture of best practices, code review, and continuous learning across the data team
• Partner with clinical, commercial, and product teams to translate complex domain requirements into robust, well-documented data models
• Evaluate, trial, and champion AI-powered analytics tooling—shaping the organization's strategic direction on emerging technologies
• Drive data quality, reliability, and governance across the transformation layer, proactively monitoring consumption and resolving issues before they impact stakeholders

What We're Looking For

Essential experience and skills:

• 3–5+ years of experience in analytics engineering, data engineering, or business intelligence
• Proven track record 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 confidence translating 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 approach, with strong instinct for high-impact solutions over over-engineering
• Genuine curiosity about AI and emerging analytics technologies, with desire to help shape organizational adoption
• Expert-level SQL: window functions, CTEs, advanced aggregations, and cloud warehouse-specific optimization
• 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 optimization, incremental loading strategies, and cost management
• Experience with Looker (LookML) or equivalent BI layer, with solid understanding of consumption-layer design
• Dimensional data modelling expertise: star schemas, slowly changing dimensions, and when to denormalize
• Strong written and verbal communication skills; able to deliver clear, insight-led presentations 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 strong demonstrated appetite to work at the frontier of AI in analytics

Beneficial experience:

• Background in digital consumer scale-ups, with experience 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)

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening. If there's a strong match, we'll submit your candidacy to our client for consideration. We manage the recruitment process on their behalf, so please do not contact the organization directly—all communication and coordination will flow through our team.

Benefits

Our client offers a comprehensive benefits package including share options, 25 days holiday plus bank holidays (increasing with tenure), private health insurance, electric car salary sacrifice scheme, enhanced parental leave, birthday day off, nursery benefits, employee assistance programme, generous pension contributions, flexible working with a dog-friendly London office, personal training and development budget, gym membership, cycle to work scheme, season ticket loan, product discounts, paid volunteering days, and sabbatical leave at 5 years.

Equal Opportunity: Get A Job.ai is committed to creating an inclusive recruitment process. We welcome applications from candidates of all backgrounds and circumstances.