At a Glance
- Tasks: Transform data into actionable insights using Fabric Lakehouse and Power BI.
- Company: Join Crew Clothing's innovative Data & Analytics team in Kingston upon Thames.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and teamwork.
- Why this job: Make a real impact by creating analytics products for top retail brands.
- Qualifications: Experience with data analytics and a passion for collaboration.
The predicted salary is between 37800 - 46200 £ per year.
Crew Clothing Head Office is seeking an Analytics Engineer to join the Data & Analytics team in Kingston upon Thames.
The role focuses on turning a modern Fabric Lakehouse and Power BI semantic model into business-ready analytics products for trading, retail and finance teams.
You will work with Claude Code and MCP tooling to build data lakes, dashboards and live data interfaces while collaborating across brands like Ben Sherman and Pringle.
Hybrid in-office requirement applies.
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AI-First Analytics Engineer — Fabric Lakehouse & Power BI in Kingston upon Thames employer: Crew Clothing Head Office
At Crew Clothing, we pride ourselves on being an exceptional employer that values collaboration, creativity, and kindness. Located in the vibrant Kingston-on-Thames, our work culture fosters personal and professional growth, offering employees the chance to engage in meaningful projects while enjoying a supportive environment. With a focus on continuous improvement and innovation, we empower our team members to thrive and celebrate their successes as part of the Crew family.
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We think this is how you could land AI-First Analytics Engineer — Fabric Lakehouse & Power BI in Kingston upon Thames
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We think you need these skills to ace AI-First Analytics Engineer — Fabric Lakehouse & Power BI in Kingston upon Thames
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
