
Data Analyst
Job Description
Posted on: December 11, 2025
đ˘ Data Analyst â Enterprise Data & Analytics | RemotePermanent | ÂŁ55,000 + Great Benefits
Weâre supporting a global leader in data & analytics in their search for a Data Analyst to help shape and elevate enterprise reporting across the organisation. This is a high-impact role working within a modern Medallion Architecture in Azure, with full ownership of the business-ready data used for critical reporting and decision-making.
Youâll design and maintain Power BI semantic models, build compelling visual reports, prepare curated datasets for AI-driven experiences, and partner closely with data engineers and business stakeholders to drive intelligent, scalable analytics.
đ What Youâll Be Doing
- Own and maintain the Gold layer of the Medallion Architecture, ensuring clean, trusted, high-quality data for enterprise reporting.
- Design, build, and maintain Power BI reports and semantic models using Power BI and Microsoft Fabric.
- Develop sophisticated DAX calculations for KPIs, time intelligence, and advanced business logic.
- Build and maintain Fabric semantic models, dataflows, and transformations.
- Translate business requirements into analytical specifications, KPIs, and measurable insights.
- Prepare curated datasets optimised for Fabric data agents, Copilot, and other AI capabilities.
- Communicate insights using clear storytelling, visual design, and documentation.
- Support the development of Copilot-driven insights through high-quality datasets and metadata.
đ§ What Weâre Looking For
- Strong background in data analysis, BI, or analytics roles.
- Experience working with Medallion Architecture, ideally owning Gold layer curation.
- Proven expertise in Power BI, including:
- UX/UI best practices
- Performance tuning
- Hands-on experience with Microsoft Fabric (Lakehouse, Data Warehouse, dataflows, semantic models).
â Desirable Skills
- Python for analytical scripting and advanced stats.
- Experience with AI-enhanced tools (Copilot, AI Foundry, Fabric AI services).
- Knowledge of data governance, metadata, and data quality frameworks.
- Experience with forecasting, statistical modelling, or ML techniques.
- Relevant Microsoft certifications (Power BI, Fabric, Data Analyst Associate).
If this is of interest and you're looking to take your career to the next level with a global company, please get in touch!
Apply now
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