Financial Data Analyst

Role Summary Responsibilities : Be the data-driven partner the Finance team relies on. Translate business needs into analytics, deliver Power BI dashboards, and define meaningful KPIs across functions to inform decisions Salary: £40,000 to £45,000 per annum (please note that we have established salary bands that are determined by your level of educational attainment to ensure a fair and consistent approach for all applicants, eliminating the need for individual negotiations) Benefits : Discretionary profit share bonuses paid twice per year, hybrid and flexible working options, generous holiday allowance, private medical insurance, critical illness cover, income protection, full funding for external training, and more Role Type : Full-time, permanent role Start Date : : We are recruiting for start dates throughout 2026, which occur on a monthly basis. You will be asked to state your availability on your application form Application Deadlines : Whilst there are no set application deadlines, we strongly recommend applying as early as possible. The role will close when a suitable candidate is found Location : This role is available in our Global Headquarters in Cambridge About the Role We are looking for a curious, commercially minded Data Analyst to join our Finance and Operations team and play a key role in how data drives decision-making across the business. This is more than a reporting role. It’s an opportunity to influence strategy, improve performance, and build scalable data solutions that senior leaders rely on. Key responsibilities: Analyse financial and operational performance to identify trends, risks and opportunities Define, track and evolve KPIs and key financial metrics Communicate insights clearly through strong data story telling Design and Deliver engaging Power BI dashboards and reports to support business decisions Support forecasting, budgeting and scenario modelling through robust, data-led insights You will combine strong analytical thinking with hands-on technical expertise, working across tools such as Power BI, Excel, SQL (where relevant) and programming languages like Python or VBA. This includes: Using advanced Excel, Power Query, Power Pivot, automation and scripting to streamline data processes Applying programming skills to automate workflows, deepen analysis and enhance reporting capabilities Building scalable data models and continuously improving processes through automation and optimisation Working closely with Finance and the People team, you’ll help transform how data is used to plan, forecast and drive performance across the organisation. A core part of the role will involve: Bringing together data from multiple systems, including from multiple systems, including data via APIs across different ERP platforms Creating a single, reliable source of truth to enable consistent and scalable reporting Driving improvements in governance and automation You’ll also have the…