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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 60+ 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 10,000+ 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 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.
This is an opportunity to apply your skills while picking up new ones and delivering value for millions of customers around the world.
Up to shape what's next in finance? Let's get in touch.
What You’ll Be Doing
- Understanding our business and its processes through data
- Applying this understanding and knowledge of data to help product and services teams
- Developing documentation and data governance
- Owning the entire ETL process
- Designing key metrics to measure different aspects of the business
- Creating and maintaining new aggregated views and tables to simplify data querying
- Providing clean data sets, modelling data in a way that empowers end users to answer their own questions
- 5+ years of experience in an analytical role, creating impactful data-driven solutions
- A solid background/education in a quantitative discipline
- Great skills with Python, SQL, or other programming languages
- Evidence of exceptional mathematical and statistics knowledge
- An advanced degree in a core STEM subject
- Experience with additional programming languages (Java, Scala, C++, etc.)
- School/university Olympic medal competitions in physics, maths, economics, or programming
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 <a class="postings-link" href="https://www.revolut.com/legal/data-privacy-for-candidates">Candidate Privacy Notice
Key Skills
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