About the role
About Motorway Motorway is the UK’s fastest-growing used car marketplace - our online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our award-winning, technology-led approach has redefined the experience of selling a car. Motorway is backed by some of the world’s leading technology investors, having raised £143 million in Series C funding. This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth and help change an industry for the better.
About
the role We are looking for a BI Data Analyst to join our Analytics team. You will take ownership of analytical projects end-to-end — from scoping business problems through to insight delivery — working closely with stakeholders across Marketing, Finance, Product, Commercial and Operations. You will build and maintain critical dashboards and reporting, surface trends and anomalies in business performance, and use data storytelling to drive measurable business outcomes. You will be expected to leverage AI tools strategically throughout your workflow — from LLM-assisted query generation and analysis summarisation to code review — accelerating delivery while maintaining rigorous standards. You will also provide critical support as the human-in-the-loop to ensure accuracy and repeatability of data analysis in other functions, empowering all our teams to make full use of AI-driven data self-serve What will you do Take business problems and independently structure them into well-defined analytical tasks Own KPI monitoring and reporting for embedded stakeholder teams, ensuring data accuracy to build quality and confidence in your outputs Root cause and explain in detail data discrepancies, finding solutions to stakeholder problems Build Looker dashboards and Hex notebooks to support deep-dive analysis and stakeholder self-serve Write production-quality SQL and Python, following team coding standards and passing peer review. Additionally assist others to review AI generated outputs. Communicate insights and recommendations clearly — constructing narratives that drive action Use AI tools to improve workflow (e.g. query generation, analysis drafts, documentation) while maintaining quality and accuracy Work with Analytics Engineers to ingest new data sources into the stack as needed