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carwow is one of Europe's largest online car-changing destinations, combining technology, media, and automotive expertise to transform how people buy, sell, advertise, and lease cars. The company grew over 50% last year with nearly £3bn in car transactions and acquired Autovia in 2024, doubling its audience. carwow now operates one of the world's largest YouTube channels with nearly 10m subscribers and significant print and digital reach.
You will bridge the gap between data engineering and business insight, taking ownership of transforming raw data into trusted, well-modeled datasets and delivering impactful reporting that drives decision-making across the business. This role combines strong technical data modeling skills with stakeholder-facing analytics and BI development.
Key responsibilities include:
- 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 visualizations
- Define and maintain core business metrics and data definitions in partnership with stakeholders and the analytics team
- Implement data quality checks, testing, and documentation within dbt
- Partner with stakeholders across commercial, product, marketing, finance, and operations
- Optimize query performance and manage cost efficiency in BigQuery
- Mentor junior analysts and promote best practices in analytics engineering
You will own the transformation layer (dbt) and semantic layer (Looker), core business metrics and reporting definitions, data quality and testing frameworks, and BI best practices and documentation standards. Success looks like clean, well-documented, trusted data models used company-wide; high adoption of Looker dashboards; reduced time-to-insight for stakeholders; clear, consistent metric definitions; and improved data reliability.
Benefits include hybrid working, competitive salary, matched pension contributions, share options, private healthcare, life assurance, mental wellbeing support, enhanced holiday package (28 days base, scaling to 30-35 days with tenure), work-from-abroad options, parental leave, childcare support, latest tech, home office allowance (up to £500), learning and development budget, and social events.
REQUIREMENTS:
- Previous experience in analytics engineering, BI, or data analytics roles
- Strong SQL skills (expert level, performance tuning experience preferred)
- Experience with modern cloud data platforms and distributed data warehouses (e.g., BigQuery, Snowflake)
- Proven experience with dbt (modeling, testing, documentation)
- Experience building dashboards in Looker (LookML is a strong plus)
- Solid understanding of data modeling concepts (star schema, dimensional modeling)
- Experience working with large-scale datasets
- Strong communication skills with 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 integration into analytics workflows
