About Revolut

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 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.

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 our data
• Applying this understanding and knowledge of data to help product and services teams
• Designing key metrics to measure different aspects of the business
• Creating and maintaining new aggregated views and tables to simplify data querying
• Maintaining and creating new dashboards to track metrics and visualise insights
• Promoting data literacy across the company, organising and holding workshops

What you'll need

• Experience in an analytical role creating impactful solutions
• A background/education in a quantitative discipline
• Great skills with Python, SQL or other programming languages
• Evidence of solid mathematical and statistics knowledge
• Experience in the financial services/banking industry

Nice to have

• An advanced degree in a core STEM subject
• Expertise with additional programming languages (Java, Scala, C++, etc.)
• Experience in accounting