About

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 65+ 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 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 talented Data Analyst to dig into our complex databases, look for root causes of a problem, design your own solutions, and write your own code to implement them. We aim for you to never stop learning, picking up new skills and delivering value along the way.

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 service 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:
Copy HTML content
Previous experience in an analytical role, creating impactful solutions
A background/education in a quantitative discipline
5+ years of experience with SQL
Great skills with Python or other programming languages
Evidence of solid mathematical and statistics knowledge