BI Data Analyst

• Develop and maintain Power BI dashboards, reports and analytical solutions that support business decision-making.
• Work closely with stakeholders to understand their requirements, challenge where appropriate and translate business needs into useful reporting solutions.
• Take ownership of reporting requests, coordinating with Data Engineering colleagues to ensure solutions are delivered, tested and meet business expectations.
• Use SQL, DAX and other analytical tools to investigate data, improve reporting and provide meaningful insights.
• Support data quality, validation and governance, ensuring reporting is accurate, reliable and well understood.
• Help develop self-service reporting capabilities, enabling business users to access and understand information more easily.
• Contribute to new initiatives involving Microsoft Fabric, automation and AI-enabled analytics, including forward planning and forecasting.

• Strong hands-on experience with Power BI, SQL and DAX, including developing reports and dashboards.
• Experience gathering requirements and working directly with business stakeholders.
• Excellent communication skills, with the ability to explain technical information clearly to non-technical colleagues.
• Good understanding of data quality, testing, validation and reporting governance.
• A curious, proactive approach, with an interest in understanding how the business operates and how data can improve it.
• Keen to broaden their technical skills, particularly around data engineering, Microsoft Fabric and AI.
• Experience within financial services or another regulated environment would be useful, but isn’t essential.

We’re working with a growing financial services organisation that’s investing heavily in its data capabilities and looking for a Business Intelligence Analyst to join its team. Working with a fantastic, supportive manager (who we placed and know well!), you’ll have the opportunity to make a genuine impact, helping the team move towards a more proactive approach to reporting, analytics and business insight.

It’s an excellent opportunity for someone who enjoys combining technical skills with stakeholder engagement, with scope to develop further into data engineering and emerging AI technologies.