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 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.
What you'll be doing Understanding our business and its processes through our dataApplying this understanding and knowledge of data to help product and services teamsDeveloping documentation and data governanceOwning the entire ETL processDesigning key metrics to measure different aspects of the businessCreating and maintaining new aggregated views and tables to simplify data queryingProviding 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
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
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.
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