Data Analyst (Power BI | SQL | Azure | Data Transformation)

I'm working with a scaling tech company who are going through a major data transformation and are looking for a Data Analyst who wants to move beyond standard reporting into something more technical and impactful. This isn't just building dashboards. The business has recently centralised its data into a new ERP system and is now in a critical phase where the data is there, but not yet fully trusted, structured, or optimised for reporting. That's where this role comes in. You'll sit across three key areas:

• Power BI & Reporting - Owning and improving the reporting landscape, moving from legacy tools (SSRS) into Power BI, and building more modern, scalable, interactive reporting solutions. There's a big opportunity to shape how Power BI is used across the business
• Stakeholder Engagement - Working directly with senior stakeholders, translating requirements, challenging thinking, and helping drive better data-led decisions
• Technical / Data Transformation Work - Investigating data issues, validating outputs, working with evolving schemas, and helping build a proper reporting framework on top of a developing data warehouse layer
You'll be working closely with developers, influencing how data is structured, and ensuring reporting is accurate, scalable, and future-proof.


• Strong SQL and analytical capability
• A highly investigative mindset with the ability to identify, troubleshoot, and resolve data issues
• Experience with data integrity, validation, and reconciling discrepancies across data sources
• Ability to work with evolving data schemas and refine reporting logic accordingly
• Experience working closely with developers to improve data quality and reporting outputs
• An understanding of, or exposure to, building or contributing to a reporting framework or data warehouse layer
• Confidence working with stakeholders and operating in a fast-paced, collaborative environment
• Supporting the evolution of the data platform as they migrate fully to Azure and Fabric.
This is ideal for someone who enjoys the technical side of data but still wants to stay close to the business in a role that sits between Data Analyst and Data Engineer.