At a Glance
- Tasks: Transform messy data into actionable insights for finance leaders.
- Company: Established consultancy with a focus on finance and operations.
- Benefits: Generous holiday, profit share bonus, private medical insurance, and training support.
- Other info: Hybrid work model with monthly start dates throughout 2026.
- Why this job: Make a real impact by shaping financial strategies through data analysis.
- Qualifications: 2-3 years in finance analytics, strong Power BI skills, and excellent communication.
The predicted salary is between 31500 - 38500 £ per year.
Data Analyst – Finance & Operations
Cambridge | £40,000–£45,000 | Permanent, full time | Hybrid (up to half your time from home after probation)
If you're a data analyst who gets a genuine kick out of turning messy numbers into a story a finance director will actually act on, this one's worth a look.
You'd be joining the Finance and Operations team of a well-established, independently owned professional services consultancy at their Cambridge headquarters, as the data-driven partner the business leans on to make sense of its numbers.
This isn't a role where you build a dashboard and move on.
You'll define and own the KPIs and financial metrics that matter, build the Power BI reporting that senior leaders actually use, and help pull together a single reliable source of truth from data scattered across multiple ERP systems and APIs.
Day to day, you'll be analysing financial and operational performance to spot trends, risks and opportunities, designing and delivering Power BI dashboards, and supporting forecasting, budgeting and scenario modelling with data-led insight rather than gut feel.
You'll work hands-on across Power BI, Excel (Power Query, Power Pivot, automation), and, where relevant, SQL and Python or VBA, and you'll have real scope to improve governance, automate manual processes, and even explore how agentic AI and intelligent automation could sharpen the team's reporting further.
You'll need two to three years in a finance-facing analytics role, strong Power BI skills, solid FP&A knowledge and the ability to define and track KPIs, and excellent communication skills, since you'll be presenting to finance and non-finance audiences alike.
SQL, Python, advanced Excel, and experience with star or snowflake data models are all a bonus rather than a must.
In return: 25 days' holiday plus bank holidays (with a buy/sell scheme), a discretionary profit share bonus paid twice yearly, private medical insurance on a medical history disregard basis, critical illness cover, income protection, life assurance, fully funded external training and study leave, and paid and unpaid sabbaticals based on length of service.
Start dates run monthly throughout 2026, so tell us your availability when you apply.
Data Analyst in Cambridge employer: Pure Resourcing Solutions Careers
Join a prestigious organisation in Cambridge that is committed to fostering a dynamic work culture and supporting employee growth through a significant transformation programme. As the Head of EPM FCCS and Financial Data Structure, you will benefit from a collaborative environment that values innovation and offers opportunities for professional development, all while enjoying the vibrant academic and cultural atmosphere of Cambridge. With a focus on meaningful contributions to financial reporting and planning, this role provides a unique chance to make a lasting impact within a large, complex organisation.
Contact Details:
Pure Resourcing Solutions Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Cambridge
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We think you need these skills to ace Data Analyst in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Pure Resourcing Solutions Careers!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
