FP&A Analyst

Support financial planning, forecasting, and performance reporting for the UK and Europe business, providing analysis and insight to enable effective decision-making. Contribute to budgeting, forecasting, and management reporting processes, ensuring accuracy and timely delivery.

• Support the annual budget and periodic forecast processes, coordinating inputs and maintaining planning models.
• Produce forecast updates with variance analysis vs. budget and prior forecasts.
• Maintain and update financial models to support scenario analysis and planning assumptions.

• Deliver monthly management reporting (revenue, costs, EBITDA, cash) with clear variance commentary.
• Analyse performance vs. budget/forecast, identifying key drivers and trends.
• Highlight risks and opportunities with supporting data and initial recommendations.

• Support finance business partnering activities with operational and commercial teams.
• Provide financial analysis to support decision-making, including cost tracking and revenue performance.
• Assist in evaluating initiatives (e.g. pricing, cost efficiency, project performance).

• Ensure consistency between planning outputs and actuals in collaboration with Financial Control.
• Reconcile data across systems and investigate variances.
• Maintain data quality and integrity across reporting processes.

• Identify opportunities to improve reporting efficiency, accuracy, and automation.
• Support development of standardised reporting and planning templates.
• Contribute to continuous improvement of FP&A processes and outputs.

• Monthly performance packs with variance commentary.
• Budget and forecast submissions.
• EBITDA / P&L bridges (actual vs. budget/forecast).
• Ad hoc analysis (projects, costs, revenue drivers).

• Part-qualified or newly qualified (ACA / ACCA / CIMA).
• Experience in financial analysis, reporting, or FP&A.
• Strong Excel and financial modelling capability.
• Ability to produce clear, concise financial commentary.

• Exposure to budgeting and forecasting processes.
• Experience working with large or complex datasets.
• Experience in a fast-paced environment.

• Analytical and detail-oriented.
• Proactive with a problem-solving mindset.
• Strong communication skills with ability to simplify data.
• Collaborative and responsive to stakeholder needs.