Senior Analytics Engineer

Overview

Numan is seeking a Senior Analytics Engineer to join its distributed team and drive better decisions across the business as it enters a chapter of AI-powered analytics. Founded in 2018, the digital health platform integrates diagnostics, medication, supplements, digital programmes, and doctor consultations. The position is based in London, United Kingdom, with flexible working options and a dog-friendly office in Farringdon.

What you get

The permanent position offers a range of benefits including share options, 25 days of holiday plus bank holidays increasing up to 30 days based on tenure, an additional day off on your birthday, and two weeks off upon reaching a fifth anniversary. Additional perks comprise health insurance with Vitality, an electric car salary sacrifice scheme with Octopus, enhanced maternity and parental leave, a nursery benefit provided by YellowNest, an employee assistance programme, a pension scheme with employer and employee contributions, a personal training and development budget via Learnerbly, a Wellhub membership, a cycle to work scheme, a season ticket loan, discounts on company products, and paid volunteering days.

Requirements

Applicants must have three to five or more years of experience in an analytics engineering, data engineering, or business intelligence role, alongside a proven track record of owning end-to-end data model design across multiple business domains. Candidates need expert-level SQL skills, deep proficiency in dbt, strong working knowledge of Google BigQuery or an equivalent cloud data warehouse, experience with Looker or an equivalent BI layer, and dimensional data modelling expertise.

Additional prerequisites include strong stakeholder management abilities, experience setting technical standards within a small data team, familiarity with data privacy and governance regarding regulated healthcare data, and practical experience or a strong appetite for AI-assisted analytics workflows. Bonus qualifications include previous experience in a digital consumer scale-up and hands-on exposure to implementing AI or LLM tooling in a data context.

How to apply

Interested candidates may apply for the permanent role through the standard application process outlined by the employer.