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Revolut is a global financial super app serving 75+ million customers with products spanning spending, saving, investing, exchanging, and travel. The company has 13,000+ employees worldwide and is certified as a Great Place to Work.
The Data Analyst (Finance) role sits within Revolut's Data Science team, which partners directly with product and finance teams to uncover insights and drive business decisions through data-driven solutions.
Key responsibilities include:
- Analyzing complex financial databases to understand business processes and ensure data accuracy from booking through accounting
- Implementing functional accounting requirements to support product and service rollouts
- Designing key business metrics and using data management tools to create more effective financial processes
- Integrating and maintaining new business operations within existing financial reporting systems, controls, and processes
- Creating and maintaining aggregated data views and tables to simplify querying and analysis
- Collaborating with controllers to develop and improve dashboards that track metrics, visualize insights, and identify business drivers
- Building and maintaining relationships with central service and data teams across Finance
- Monitoring management information and conducting reviews of centralized support functions
- Promoting data literacy across the organization through workshops and training
Required qualifications:
- Previous experience in an analytical role delivering impactful solutions
- Strong background or education in a quantitative discipline
- Proficiency in Python, SQL, or other programming languages
- Advanced knowledge of mathematics and statistics
Nice-to-have qualifications:
- Expertise in additional programming languages (Java, Scala, C++)
- CPA or equivalent certification
Revolut emphasizes diversity and inclusion, actively encouraging applications from candidates with diverse backgrounds and experiences.
