Senior BI Analytics Engineer

We're looking for a Senior Analytics Engineer / BI Analyst to bridge the gap between data engineering and business insight. You'll take ownership of transforming raw data into trusted, well modelled datasets and deliver impactful reporting that drives decision making across the business. This role combines strong technical data modelling skills with stakeholder-facing analytics and BI development.

Responsibilities

Design, build, and maintain scalable data models using dbt on Google Cloud Platform (BigQuery); Create and maintain dashboards and explores in Looker, enabling self-serve analytics; Translate business requirements into clear data models, metrics, and visualisations; Define and maintain core business metrics and data definitions in partnership with stakeholders and the wider analytics team; Implement data quality checks, testing, and documentation within dbt; Partner with stakeholders across all parts of the business including commercial, product, marketing, finance, and operations; Optimise query performance and manage cost efficiency in BigQuery; Mentor junior analysts and promote best practices in analytics engineering across the wider analytics team

Requirements

Previous experience in analytics engineering, BI or data analytics roles; Strong SQL skills (expert level, performance tuning experience preferred); Experience working with modern cloud data platforms and distributed data warehouses (e.g. BigQuery, Snowflake); Proven experience with dbt (modelling, testing, documentation); Experience building dashboards in Looker (LookML is a strong plus); Solid understanding of data modelling concepts (star schema, dimensional modelling); Experience working with large-scale datasets; Strong communication skills with the ability to work with non-technical stakeholders

Nice to have

Hands-on experience with Google Cloud Platform, especially BigQuery; Experience with orchestration tools (e.g. Airflow); Knowledge of data governance and data quality frameworks; Exposure to reverse ETL tools (e.g. Hightouch); Familiarity with AI coding assistants and a habit of integrating them into day-to-day analytics workflows

Benefits

Hybrid working; Competitive salary; Matched pension contributions; Share options; Bupa Private Healthcare plus eyecare vouchers; Life Assurance; Monthly coaching sessions with Spill (mental wellbeing partner); Enhanced holiday package plus Bank Holidays; 28 days annual leave; 1 day for your wedding; 1 day off when you move house; 30 days annual leave after three years' service; 35 days annual leave after ten years' service; Option to buy 3 extra days of holiday per year; Work from abroad for a month; Inclusive parental, partner and shared parental leave, fertility treatment and pregnancy loss policies; Bubble childcare support and discounted nanny fees; Latest tech (Macbook or Surface); Up to £500/€550 home office allowance; Generous learning and development budget; Regular social events; Refer a friend scheme