Data Analyst (Finance)
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 Scientists and Analysts 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 Data Analyst who can dig into our complex databases, look for the root cause of a problem, and design their own solutions by writing code to implement them.
Up to shape what's next in finance? Let's get in touch.
What you’ll be doing
- Understanding business processes through financial data and ensuring accuracy from booking to accounting
- Implementing functional accounting requirements to support the roll out of products and services
- Designing key metrics to measure different aspects of the business, using data management tools to create more effective financial processes
- Ensuring the integration and maintenance of new business into existing financial reporting systems, controls, and processes
- Creating and maintaining new aggregated views and tables to simplify data querying
- Working with controllers to improve the dashboard to track metrics, visualise insights, and identify drivers for the business
- Developing and maintaining key relationships with the central service and data teams across the Finance team
- Monitoring management information and conducting reviews of centralised support functions, such as for service centres
- Promoting data literacy across the company, organising and holding workshops
What you'll need
- Previous experience in an analytical role, creating impactful solutions
- A solid background/education in a quantitative discipline
- Great skills with Python, SQL, or other programming languages
- Evidence of advanced mathematical and statistics knowledge
Nice to have
- Expertise in additional programming languages (Java, Scala, C++, etc.)
- A CPA or equivalent certification