Data Analyst (Engineer)

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 50+ 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

We approach Data Science at Revolut the same way that we approach everything else. We take complex problems, and create extraordinary solutions that our customers love. Our Data Analysts aren’t kept in the background, doomed to never see the impact of their work. They’re some of our best and brightest problem solvers, deployed to the front-lines to work in Product Teams and deliver rock star solutions.

We’re looking for a superstar Data Analyst who does not believe there is a data task that can be too hard. From digging into our complex databases, looking for the root cause of a problem to designing their own solutions and writing their own code to implement them. In this process they never stop learning, picking up new skills and delivering value

Up for the challenge? 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
• 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 to end users, modeling data in a way that empowers end users to answer their own questions

What you'll need

• 5+ years of professional experience in an analytical role, creating impactful data-driven solutions
• Excellent background/education in a quantitative discipline
• Great skills with Python, SQL, or other programming languages
• Evidence of exceptional mathematical and statistics knowledge

Nice to have

• An advanced degree in a core STEM subject
• Excellent experience with additional programming languages (Java, Scala, C++, etc.)
• School/University Olympic medal competitions in Physics, Maths, Economics, or Programming

Compensation range

• Lithuania: €3,700 - €6,200 gross monthly*
• Vilnius: €3,700 - €6,200 gross monthly*
• Other locations: Compensation will be discussed during the interview process
• Final compensation will be determined based on the candidate's qualifications, skills, and previous experience

Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.

Refer to our Data Privacy Statement for Candidates for details on our data handling practices during your application.