At a Glance
- Tasks: Analyse financial data, create dashboards, and drive strategic insights for decision-making.
- Company: Join a top-rated medical communications agency with a collaborative culture.
- Benefits: Enjoy competitive salary, hybrid working, generous holidays, and full training funding.
- Other info: Explore emerging technologies and enjoy excellent career growth opportunities.
- Why this job: Make a real impact by transforming data into actionable insights for the finance team.
- Qualifications: Degree in a quantitative field and 2-3 years of data analytics experience required.
The predicted salary is between 40000 - 45000 £ per year.
Be the data‑driven partner the Finance team relies on. Translate business needs into analytics, deliver PowerBI dashboards, and define meaningful KPIs across functions to inform decisions.
Salary: £40,000 to £45,000 per annum (salary bands determined by educational attainment to ensure a fair and consistent approach for all applicants).
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; you will be asked to state your availability on your application form.
Application Deadline: August 3rd, 2026
Location: 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 is 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 storytelling
- Design and deliver engaging PowerBI 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 PowerBI, Excel, SQL (where relevant) and programming languages like Python or VBA.
- Using advanced Excel, PowerQuery, PowerPivot, 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 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.
About You:
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 and data analytics.
- Minimum of 2 to 3 years of experience in data analytics work in a finance context
- Strong PowerBI skills, including building and maintaining dashboards/reports
- Solid finance/FP&A knowledge, including the ability to define and track KPIs and financial metrics
- Data cleaning, validation, and quality assurance with a focus on data accuracy and reliability
- Understanding of data governance, security, and privacy best practices
- Excellent communication and data storytelling, including the ability to present insights to both finance and non‑finance audiences
- Proven cross‑functional collaboration and stakeholder management
- Ability to document data sources, transformations, methodologies, and dashboards; maintain data lineage
- Strong time management, prioritisation, and the ability to work independently
Financial Data Analyst in Cambridge employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
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We think you need these skills to ace Financial Data Analyst in Cambridge
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