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Revolut is a global financial super app serving 80+ 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 Science team solves complex business problems with practical, scalable solutions. As a Data Analyst in Finance, you will work directly with product and finance teams to uncover insights, guide strategic decisions, and improve customer experience through data-driven analysis.
Key Responsibilities:
- Handle finance-related data requests and provide ongoing analytical support
- Manage end-to-end delivery of data for MIS, regulatory reporting, and operational reports
- Perform data mapping and discovery to identify and document relevant data sources and business requirements
- Execute ETL processes to ensure accurate extraction, transformation, and loading of data for reporting and analysis
- Design key metrics to measure different business aspects using data management tools to create more effective financial processes
- Ensure integration and maintenance of new business into existing financial reporting systems, controls, and processes
- Collaborate with controllers to improve dashboards that track metrics, visualize insights, and identify business drivers
- Develop and maintain key relationships across the Finance team
- Promote data literacy across the company through workshops and training
Requirements:
- 4+ years of experience in a data analysis role
- Strong proficiency in Python and SQL
- Solid background or education in a quantitative discipline
- Detail-oriented with quality focus and ability to deliver under tight timeframes
Nice to Have:
- Background in finance, ideally within a bank, and/or regulatory reporting experience
- Experience preparing reports for external parties/authorities
- Familiarity with Airflow, Trino, and Looker
- Skills in other programming languages (Java, Scala, C++, etc.)
