Data Analyst

DATA ANALYST (FINANCE)

UP TO £75,000

LONDON (HYBRID)

This is a unique opportunity for a commercially minded analytics professional to join a high-performing finance function where data, reporting, and business insight sit at the heart of decision-making. Working closely with senior stakeholders, you will play a key role in improving reporting capabilities, supporting investment decisions, and helping the business gain greater value from its data.

The Company

They are a globally established professional services organisation with an international presence and a strong focus on business performance, growth, and innovation. The business is investing in its reporting and analytics capabilities, creating an opportunity for someone who enjoys solving complex data challenges and influencing decision-making through insight. The environment is collaborative, commercially driven, and highly stakeholder-focused.

The Role

You will work across finance, reporting, and analytics, transforming operational and financial data into meaningful business insights.

Key responsibilities include:

• Collecting, validating, and analysing financial and operational data from multiple sources
• Developing and enhancing reporting solutions using Excel and Power BI
• Producing management information and board-level reporting packs
• Building KPI, profitability, utilisation, and performance reporting
• Creating and maintaining Power BI dashboards, data models, and reporting frameworks
• Using DAX and Power Query to transform and structure complex datasets
• Supporting business performance and investment analysis
• Improving reporting processes, governance, and data quality
• Working with data warehouse outputs and supporting reporting improvements
• Partnering with senior stakeholders across finance and the wider business
• Communicating insights and recommendations to both technical and non-technical audiences

Your Skills & Experience

• Advanced Excel skills, including complex reporting, data manipulation, and reconciliation
• Strong Power BI experience covering dashboard development, data modelling, and reporting
• Solid DAX knowledge with experience building measures and calculations
• Experience using Power Query for data transformation and automation
• SQL capability for data extraction and analysis
• Proven experience working with large, fragmented, or multi-source datasets
• Strong stakeholder engagement and business partnering skills
• Experience delivering commercial, operational, or performance reporting
• Ability to translate complex data into clear business insights
• Experience within a financial services, professional services, or consultancy environment is essential
• Understanding of profitability, utilisation, performance metrics, and business growth drivers