Data Analyst
Posted Updated
As a Data Analyst at HGF you’ll take ownership of operational and management reporting across HGF. Based in the Data team and reporting to the Head of Data, you’ll partner with colleagues across Finance, Business Development, our Attorneys and Solicitors, and the support functions understanding what they actually need and turning data into insight they can act on.
You’ll be picking up an established Microsoft Fabric and Power BI platform and helping shape where it goes next, working alongside a small, friendly Data team. Day to day, that means designing dashboards, reports and semantic models, establishing consistent business metrics, and helping colleagues across the firm get the answers they need from the data as well as building data literacy along the way.
As the data platform grows so will the role and there’s scope to move into advanced analytics, and AI-assisted tooling such as Fabric MCP, Fabric IQ, Copilot and data agents.
Key Responsibilities
Owning the delivery and ongoing support of operational reporting across the firm.
Rebuilding and enhancing financial and operational reporting on Microsoft Fabric and Power BI.
Designing, developing and maintaining Power BI dashboards, reports, semantic models and DAX measures.
Working closely with our Data Engineer to build intuitive data models that unlock self-service reporting.
Getting under the skin of business requirements and turning them into reporting that actually answers the question.
Keeping reporting standards, security, governance and metric definitions consistent across the board.
Steering the move away from legacy reporting and driving adoption of the new platform.
Digging into reporting and data quality issues alongside stakeholders, so the data stays trusted.
Championing data literacy through training, support and stakeholder engagement.
Candidate Essential Experience, Qualifications and Skills
Data analysis and/or business intelligence (4+ years)
Power BI, including dashboards, reports and semantic models (4+ years)
DAX (3+ years)
SQL (3+ years)
Data modelling for reporting and analytics (2+ years)
Requirements gathering and stakeholder engagement (3+ years)
Financial and/or operational reporting (2+ years)
Microsoft Fabric experience is desirable (2+ years)
This is a mid to senior level role. We don’t expect every box ticked — if you’re close, get in touch.
About You
You’re an experienced Data Analyst or BI professional who genuinely enjoys turning messy, complex data into something people understand. Power BI, DAX and SQL are your everyday tools, and you’ve got a track record of building reporting that changes decisions rather than gathering dust. You’re confident with stakeholders at every level drawing out what they actually need, translating vague asks into clear requirements, and turning those into numbers people trust and understand.
You’re curious and detail-oriented, and you take real ownership of your work. You’re happy working independently while staying closely plugged into technical and business teams, particularly Finance. Experience with Microsoft Fabric, data modelling, data governance or professional services reporting would be a real plus as would an interest in advanced analytics and AI-driven reporting tools.
You’ll be picking up an established Microsoft Fabric and Power BI platform and helping shape where it goes next, working alongside a small, friendly Data team. Day to day, that means designing dashboards, reports and semantic models, establishing consistent business metrics, and helping colleagues across the firm get the answers they need from the data as well as building data literacy along the way.
As the data platform grows so will the role and there’s scope to move into advanced analytics, and AI-assisted tooling such as Fabric MCP, Fabric IQ, Copilot and data agents.
Key Responsibilities
Owning the delivery and ongoing support of operational reporting across the firm.
Rebuilding and enhancing financial and operational reporting on Microsoft Fabric and Power BI.
Designing, developing and maintaining Power BI dashboards, reports, semantic models and DAX measures.
Working closely with our Data Engineer to build intuitive data models that unlock self-service reporting.
Getting under the skin of business requirements and turning them into reporting that actually answers the question.
Keeping reporting standards, security, governance and metric definitions consistent across the board.
Steering the move away from legacy reporting and driving adoption of the new platform.
Digging into reporting and data quality issues alongside stakeholders, so the data stays trusted.
Championing data literacy through training, support and stakeholder engagement.
Candidate Essential Experience, Qualifications and Skills
Data analysis and/or business intelligence (4+ years)
Power BI, including dashboards, reports and semantic models (4+ years)
DAX (3+ years)
SQL (3+ years)
Data modelling for reporting and analytics (2+ years)
Requirements gathering and stakeholder engagement (3+ years)
Financial and/or operational reporting (2+ years)
Microsoft Fabric experience is desirable (2+ years)
This is a mid to senior level role. We don’t expect every box ticked — if you’re close, get in touch.
About You
You’re an experienced Data Analyst or BI professional who genuinely enjoys turning messy, complex data into something people understand. Power BI, DAX and SQL are your everyday tools, and you’ve got a track record of building reporting that changes decisions rather than gathering dust. You’re confident with stakeholders at every level drawing out what they actually need, translating vague asks into clear requirements, and turning those into numbers people trust and understand.
You’re curious and detail-oriented, and you take real ownership of your work. You’re happy working independently while staying closely plugged into technical and business teams, particularly Finance. Experience with Microsoft Fabric, data modelling, data governance or professional services reporting would be a real plus as would an interest in advanced analytics and AI-driven reporting tools.