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People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.
As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About The Role
Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improves 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.
Up to shape what's next in finance? Let's get in touch.
What You'll Be Doing
- Building and adapting data models and ETL processes for regulatory reporting, setting up the local approach
- Analysing and structuring end-to-end data flows across products, systems, and vendors
- Building data quality checks, and control frameworks to ensure accuracy, consistency, and traceability.
- Translating complex requirements into clear, efficient data solutions
- Maintaining and improving reporting infrastructure, ensuring accuracy, compliance, and high data quality
- Monitoring and improving data reliability, applying close attention to detail
- Collaborating with business and technology teams to align on data requirements and business logic
- Fluency in English and Portuguese
- Impressive SQL skills and a solid understanding of complex data systems
- Experience with data architecture, ETL design, and pipelines
- The ability to adjust data to strict regulatory specifications efficiently
- Great collaboration skills to work with cross-functional teams
- To be detail-oriented, quality-focused, and able to deliver under time pressure
- Experience in financial institutions across controllership, accounting, treasury, financial reporting, or FP&A
- Knowledge of regulatory or accounting-driven data use cases, including reconciliation and controls
- Experience in fast-growing or scaling fintechs
- Proficiency in additional programming languages (Python, Java, Scala, C++, etc.)
Important notice for candidates:
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.
- Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment.
- Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice
Key Skills
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