A high-impact FP&A Data Analyst role at the heart of a large, complex UK business, focused on deep data analysis rather than traditional reporting. This role supports commercial decision-making by building robust data models, automating insight, and transforming large datasets into clear, actionable performance intelligence.
You’ll work with finance and business stakeholders to design scalable FP&A datasets, develop advanced analytics, and create scenario models across profitability, pricing, cost, working capital and long-term planning. Expect heavy data crunching, automation and coding, with a strong focus on accuracy, speed and insight.
Ideal for someone with serious analytical firepower - strong SQL/Python (or similar), advanced Excel, BI tools, and a passion for turning complex financial data into powerful decision-making insight.
Data & Analytics
Build, maintain, and optimise large FP&A datasets by integrating financial, operational, and commercial data from multiple source systems.
Write and maintain production-quality code (e.g. SQL, Python, or similar) to clean, transform, and model data.
Develop scalable data pipelines and analytical models to support forecasting, planning, and performance analysis.
Ensure data accuracy, integrity, and consistency across all FP&A outputs.
Advanced FP&A Insight
Deliver deep analytical insight across profitability, pricing, margin, cost, working capital, and sustainability metrics.
Build driver-based and scenario models (e.g. price, volume, cost, FX, mix) to support strategic and commercial decision-making.
Move FP&A from backward-looking reporting to forward-looking, predictive insight.
Automation & Tooling
Automate recurring FP&A processes to reduce manual effort and increase speed and reliability of insight.
Develop and maintain dashboards, BI outputs, and analytical tools for finance and non-finance stakeholders.
Continuously improve FP&A tools, models, and templates, challenging traditional spreadsheet-heavy approaches.
Experience & Skills
Experience
Strong experience in FP&A, commercial finance analytics, or finance-focused data analytics roles.
Experience operating in large, complex, or multi-entity organisations.
Exposure to working with imperfect, high-volume datasets is essential.
Technical Skills (Core)
Strong coding capability in SQL and/or Python (or equivalent).
Advanced Excel or Google Sheets (used selectively, not as the primary tool).
Experience with BI tools (e.g. Qlik, Power BI, Tableau, or similar).
Experience with financial planning systems and large ERP datasets.
Strong data modelling and data transformation skills.