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: The role will ideally commence in September or October 2026, and you will be asked to state your availability on your application form
• Final date to receive applicationss: The Final date to receive applications for this role is August 3rd, 2026
• Location: This role is available in our Global Headquarters in Cambridge

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 opportunity to explore emerging technologies, including agentic AI, using intelligent automation and AI‑driven workflows to further enhance insight and efficiency.

This role is ideal for someone who enjoys working across the full data lifecycle and is confident both technically and commercially, from extracting and modelling data through to delivering clear, impactful insights.

Costello Medical has grown organically since our foundation in 2008 to become one of the most established independently owned agencies delivering medical communications and health economic services. We work with a wide range of clients, including the industry’s most successful pharmaceutical and medical technology companies, patient and public health bodies, and charitable organisations. We have been listed in the Top 100 Best Companies to Work For list since 2017, the Boston Globe’s Top Places to Work list in 2025 and were proud to receive B Corporation accreditation in 2022.

Learn more about us, our work, and our mission on our website:

Essential requirements for the role are:

• Degree in a quantitative field (minimum 2:1 or equivalent). We welcome applications from a diverse range of specialisms, including but not limited to;
  Computer Science, Mathematics, Statistics, Finance, Data Science, Data Analytics
• A…