Data Analyst - Engineer

People deserve more from their money. More visibility, more control, more freedom. And since 2015, Revolut has been on a mission to deliver just that. With an arsenal of awesome products that span spending, saving, travel, transfers, investing, exchanging and more, our super app has helped 25+ million customers get more from their money. And we're not done yet.

As we continue our lightning-fast growth, we believe that two things are essential to continuing our success: our people and our culture. So far, we have 5000+ people working around the world, from our great offices or remotely, on our mission. And we're looking for more. We want brilliant people that love building great products, love redefining success, and love turning the complexity of a chaotic world into the simplicity of a beautiful solution.

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 \uD83E\uDD18

We’re looking for a superstar Data Analysts who do not believe there is a data task that can be too hard \uD83E\uDDAC 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 \uD83D\uDC47

• 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

• Previous experience in an analytical role, creating impactful solutions

• Strong background / education in a quantitative discipline

• Great skills with Python, SQL or other programming languages

• Evidence of strong mathematical & statistics knowledge

• Advanced degree in a core STEM subject

• Strong experience with additional programming languages (such as: Java, Scala, C++…)

• School/University Olympic medal competitions in: Physics, Maths, Economics or Programming

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