Senior Analytics Engineer (AI)

Location: London; Workplace: Hybrid

Company

Numan is a digital health company developing AI-powered analytics across commercial, marketing, health outcomes, and clinical operations domains.

What you will do

• Design, build, and maintain scalable, well-tested dbt data models across commercial, marketing, health outcomes, and clinical operations domains.
• Set technical standards for data modelling, testing, documentation, code quality, and best practices within the analytics engineering function.
• Lead analytical projects end to end, including requirements scoping, dependency management, risk identification, critical-path planning, and stakeholder communication.
• Mentor data scientists and analysts on data modelling and promote code review and continuous learning across the data team.
• Partner with clinical, commercial, and product teams to translate complex requirements into robust, documented data models.
• Evaluate AI-powered analytics tools, improve data quality and governance, and resolve transformation-layer issues before they affect stakeholders.

Requirements

• 3–5+ years of experience in analytics engineering, data engineering, or business intelligence.
• Experience owning end-to-end data model design across multiple business domains, ideally covering at least two of commercial, marketing, health outcomes, or clinical/operational analytics.
• Strong stakeholder management skills and the ability to explain complex technical concepts to clinical and commercial audiences.
• Experience setting technical standards and delivering high-quality work within a small, high-performing data team.
• Self-motivated and pragmatic, with a focus on high-impact solutions over over-engineering.
• Expert-level SQL, including window functions, CTEs, advanced aggregations, and cloud warehouse optimisation.
• Deep proficiency in dbt, including models, macros, tests, packages, documentation, exposures, and CI/CD integration.
• Strong working knowledge of Google BigQuery or an equivalent cloud data warehouse, including query optimisation, incremental loading strategies, and cost management.
• Experience with Looker/LookML or an equivalent BI layer, dimensional modelling, star schemas, slowly changing dimensions, and denormalisation decisions.
• Strong written and verbal communication skills, including insight-led presentations for technical and non-technical stakeholders.
• Understanding of data privacy, governance, and compliance requirements for regulated healthcare data.
• Practical experience with AI-assisted analytics workflows or a strong demonstrated appetite to work with AI in analytics.

Nice to have

• Experience in a digital consumer scale-up and delivering high-quality work at pace.
• Hands-on experience evaluating or implementing AI/LLM tooling in data or analytics, such as semantic layers, natural-language querying, or AI-assisted documentation.

Culture & Benefits

• Permanent hybrid role based in London.
• Work spans collaboration with data scientists, analysts, clinical teams, commercial teams, product teams, and wider business stakeholders.
• Opportunity to shape the adoption of emerging AI-powered analytics technologies and practices.
• Numan highlights diversity as part of its workplace approach.