Data Analyst (Product)

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 75+ 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 13,000+ 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 • 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 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. Important notice for candidates: Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. • Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. • Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain. We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately. By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice Show more Show less

Previous experience in an analytical role; a background/education in a quantitative discipline; 5+ years of experience with SQL; strong skills with Python or other programming languages; solid mathematical and statistics knowledge.

Understanding the business and its processes through data; applying data understanding 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 by organizing and conducting workshops.