Data Analyst

Title - Data Analyst Location - Oxford & Hybrid (2-3 days a week)
Salary - £45,000 - £65,000, Flexible dependant on experience

Our client, a leading player in the financial services sector circa ~300 heads, is looking for a talented Data Analyst to join their growing team. This is a fantastic opportunity to work in a fast-paced collaborative environment where your work directly influences strategic decisions and drives business success.

You’ll be at the heart of the organisation, working with complex datasets to uncover trends, optimise processes and deliver actionable insights. This is a hands‑on role where you’ll create dashboards, visualisations and reports that inform decision‑making across the business. You’ll work closely alongside a Data Engineer to ensure data pipelines are robust and accurate and you’ll have the opportunity to collaborate directly with C‑suite executives on ad‑hoc analysis and strategic projects.

• Collecting, cleaning and analysing large datasets using SQL, R, Python and VBA
• Designing and delivering interactive dashboards and visualisations with Tableau and Power BI that are used across the organisation
• Performing business analysis to identify patterns, trends and optimisation opportunities
• Collaborating closely with a Data Engineer to ensure clean reliable data for reporting and analytics
• Providing ad‑hoc insights and analysis directly to senior stakeholders including the C‑suite to support key business decisions
• Designing, maintaining and optimising databases (Oracle, SQL Server) for maximum efficiency
• Automating workflows using Bash (Unix shell) and other scripting tools
• Translating complex data into clear actionable insights for a variety of audiences

• Strong SQL, Excel and data manipulation skills with experience in BI tools like Tableau or Power BI
• Programming experience in R or Python for statistical analysis and data modelling
• Experience with relational databases (Oracle, SQL Server) and database design
• Exposure to VBA, Bash scripting or other automation tools
• Knowledge of financial services data, risk modelling or regulatory reporting is a plus
• Familiarity with cloud platforms like AWS or Azure for data analytics is desirable
• Comfortable working across multiple stakeholders and presenting insights at executive level
• Strong communication skills and ability to translate complex data into clear recommendations
• Collaborative mindset, hands‑on approach and attention to detail

• Work closely with senior stakeholders including the C‑suite on high‑impact projects
• Hands‑on experience with dashboards, analytics and end‑to‑end data solutions alongside a skilled Data Engineer
• Flexible working arrangements to support work‑life balance
• A culture that values curiosity, innovation and continuous learning
• Opportunity to make a tangible impact in a leading financial services organisation