Finance FP&A Data Analyst

The Finance FP&A Data Analyst plays a central role in transforming how Finance, Operations, and Commercial teams leverage data to drive decision making. The role blends deep financial expertise with analytics, data modelling, and visualisation/presentation capabilities.

Requirements

• Deliver advanced financial analysis, modelling, and scenario planning.
• Support FP&A cycles, including budgeting, forecasting, and performance reviews.
• Translate complex datasets into actionable recommendations for senior leadership.
• Provide insight across revenue, cost, margin, headcount, and operational KPIs.
• Support people analysis to ensure we understand our cost base and are able to report/forecast/scenario plan efficiently to a high standard.
• Apply analytical thinking to solve ad hoc and strategic business challenges.
• Develop robust Power BI dashboards using Power Query, DAX, and strong data modelling practices.
• Enhance and maintain existing dashboards including financial performance, workforce planning, sales compensation, and operations insight.
• Build automated data refresh processes and reporting pipelines.
• Translate business requirements into intuitive, high impact dashboards.
• Validate and map data from core systems including Dynamics 365 Finance, Salesforce, and SaaS billing platforms.
• Own and maintain finance KPI definitions, ensuring alignment across reporting tools.
• Embed reconciliation logic, audit requirements, and financial controls within data pipelines.
• Work closely with Data Engineering to ensure models are scalable, well documented, and governed.
• Lead and manage analytical projects spanning FP&A, Commercial, Ops, HR/Reward, and Tech.
• Support the business with modelling for compensation, sales commissions, workforce analytics, bonus modelling, and scenario analysis.
• Collaborate with stakeholders to refine project objectives, timelines, and deliverables.
• Support monthly, quarterly, and annual modelling cycles (e.g., bonus files, salary review models, workforce dashboards).
• Champion the evolution of finance data architecture and reporting standards.
• Identify opportunities for automation and operational efficiency.
• Promote data literacy within Finance and the wider business.
• Collaborate with the Data Product Manager to define data requirements and analytics priorities.

Benefits

• Competitive salaries
• Enhanced healthcare
• Pensions
• Generous holiday allowances
• Hybrid working
• Core Hours policy
• Two volunteering days a year
• Donation amount on joining

Tagged as: Data Analysis, Financial Modeling, SQL