Analytics Engineer

Power BI (advanced DAX, report design, dashboard development, performance tuning).

• Design, build, and maintain Power BI reports and dashboards, aligned to enterprise standards for usability, performance, and governance.
• Design and deliver reusable data products, including datasets and semantic models, aligned to business needs.
• Develop, manage, and optimise semantic models, applying dimensional modelling techniques to support scalable analytics.
• Implement KPI definitions in line with governed metric frameworks, ensuring consistency across datasets and reports.
• Translate business requirements into structured and scalable analytical solutions, balancing user needs with technical best practice.
• Enable self‑service analytics through reusable datasets, templates, and guidance for business users.

• Strong experience building reports and dashboards using Power BI, including DAX and performance optimisation.
• Solid understanding of dimensional modelling (star schemas, relationships, hierarchies).
• Experience building and managing semantic models aligned to governed data structures and reusable datasets.
• Microsoft Fabric (semantic models, datasets, platform capabilities).
• SQL (data querying, transformation, and analysis).
• Power BI (advanced DAX, report design, dashboard development, performance tuning).
• Strong understanding of data modelling principles (dimensional modelling, star schema design).

• Hybrid working – 2 days in the office and 3 days working from home.
• Working flexible hours – flex the times you start and finish during the day.
• Flexibility around school pick-up and drop-offs.

If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence.