Finance Data Analyst

Role Purpose
The Commercial Finance and Financial Planning & Reporting team serves as the analytical hub for the organization, providing data-driven insights to support executive decision-making. This team delivers management information to guide future performance expectations, forecasts, and reviews of actual results, enabling informed decisions to optimize sales, revenue, and costs.

As a Finance Data Analyst, you will play a key role in supporting the finance team through financial analysis, reporting, and insight generation. You will gain practical experience interpreting financial data and contributing to strategic decision-making, working closely with senior finance and technology professionals to enhance reporting quality and data-driven insights.

Key Responsibilities

• Lead profitability reporting for projects and products, providing actionable insights to support commercial decision-making.
  
• Develop and maintain high-quality financial presentations, dashboards, and reports for senior leadership.
  
• Analyze key performance indicator (KPI) trends to inform operational and strategic decisions.
  
• Collaborate with Finance, Technology, and Delivery teams on financial modelling, analysis, and reporting initiatives.
  
• Identify opportunities to improve reporting efficiency, data quality, and process automation, including leveraging AI-enabled tools.
  

Functional and Technical Skills

• Strong communication skills, with the ability to translate technical data into clear business insights.
  
• Analytical mindset with curiosity to explore trends, challenge assumptions, and improve processes.
  
• Familiarity with financial modelling, profitability analysis, and cost allocation principles is desirable.
  
• Experience handling large datasets, data cleansing, and ensuring data integrity.
  
• Advanced Microsoft Excel skills, including data modelling techniques.
  
• Competence in data modelling and dashboard development.
  

Additional Advantageous Skills:

• PowerQuery
  
• Power BI and Microsoft Fabric
  
• Adaptive Planning
  
• AI-enabled analytics and automation tools (e.g., CoPilot)