About the Role
Our Data Science team solves complex problems with smart, practical solutions. Data Analysts and Scientists work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.
We're looking for a Data Analyst who can dig into our complex databases, look for the root cause of a problem, and design their own solutions by writing code to implement them.
What You’ll Be Doing
Handling finance-related requests and providing ongoing data support
Managing the end-to-end delivery of data for MIS, regulatory reporting, and other operational reports
Performing data mapping and discovery to identify and document relevant data sources and business requirements
Executing ETL processes to ensure data is accurately extracted, transformed, and loaded for reporting and analysis
Designing key metrics to measure different aspects of the business, using data management tools to create more effective financial processes
Ensuring the integration and maintenance of new business into existing financial reporting systems, controls, and processes
Working with controllers to improve dashboards to track metrics, visualise insights, and identify business drivers
Developing and maintaining key relationships across the Finance team
Promoting data literacy across the company, organising and holding workshops
What You’ll Need
4+ years of experience in a data analysis role
Great skills with Python and SQL
A solid background/education in a quantitative discipline
To be detail-oriented, quality-focused, and able to deliver under tight timeframes
Nice to Have
A 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.)
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