FP&A Data Analyst

Group Finance | Listed Business

The Opportunity

This is a high-impact FP&A Data Analyst role sitting at the heart of a large, complex, listed organisation. You’ll support the Group FP&A function by owning the data, automation, and analytical engine that underpins executive decision-making.

Rather than producing static reports, you’ll build scalable data models, automate forecasting and planning processes, and transform complex financial data into clear, actionable insight for senior stakeholders. This role is ideal for someone who enjoys combining finance, coding, and commercial thinking to drive better outcomes.

The Role

As an FP&A Data Analyst, you will partner closely with Group FP&A, Finance Business Partners, and senior leadership to design, maintain, and enhance the data infrastructure supporting budgeting, forecasting, performance reporting, and long-term planning.

You will act as the technical backbone of FP&A, improving data quality, speeding up insight delivery, and enabling the finance team to move away from manual processes toward automated, intelligent analysis.

Key Responsibilities

Design and maintain automated FP&A models supporting budgets, forecasts, and long-range plans

Build advanced Power BI dashboards for board-level and executive reporting

Develop and optimise VBA solutions to streamline recurring FP&A processes

Use Python to manipulate large datasets, automate workflows, and perform advanced analysis

Integrate and reconcile data across multiple source systems (ERP, planning tools, operational systems)

Improve data governance, accuracy, and consistency across Group FP&A

Partner with senior FP&A leaders to translate business questions into robust analytical solutions

Reduce manual effort, cycle times, and risk through process automation and smarter data design

What We’re Looking For

Essential

Strong experience supporting FP&A or commercial finance functions

Advanced Power BI (data modelling, DAX, dashboard design)

Strong VBA capability for automation and modelling

Python proficiency for data analysis and process automation

Excellent understanding of financial data structures (P&L, balance sheet, cash flow)

Ability to communicate complex analysis clearly to non-technical stakeholders