About Revolut
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, we've helped 45+ million customers get more from their money. And we're not done yet.
As we continue our lightning-fast growth, two things are essential to continuing our success: our people and our culture. We've been officially certified as a Great Place to Work™ in recognition of our outstanding employee experience! So far, we have 10,000+ 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.
About the role
We approach Data Analytics 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 Analysts who don't believe there's 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 ✨
The team are building the bank of the future, shaping the future of financial services, and how banking should be. Data is at the heart of everything we do, and we are looking for a commercially-minded, experienced data analyst to support our next chapter! At Revolut, we believe in team work, working together but also having fun together to build the future of financial services!
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 the service team of UK Bank
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
Supporting different departments in reporting on data quality metrics
What you'll need
7 years+ previous experience in an analytical role, creating impactful solutions
Excellent background / education in a quantitative discipline
Great skills with Python, SQL, or other programming languages
Evidence of strong mathematical & statistics knowledge
Solid knowledge and understanding of data governance principles, concepts, and best practices
Expertise in developing and implementing data governance policies, procedures, and data governance tools/technologies
Excellent analytical, problem-solving, and decision-making skills
Exceptional communication, negotiation, and stakeholder management abilities
Nice to have
Advanced degree in a core STEM subject
School/University Olympic medal competitions in: Physics, Maths, Economics or Programming
Experience in accounting
Managerial 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.
