Data Analyst (Engineer)

About RevolutPeople 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 70+ million customers get more from their money every day.As we continue our lightning‑fast growth, two 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™. We have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. We’re looking for more brilliant 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 RoleOur 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 DoingBuilding and maintaining trusted datasets for reporting and analytics, working across multiple source systems and owners.Supporting database sharding and data residency programme.Validating data accuracy between source systems and replicated datasets, and investigating discrepancies.Owning the delivery around requirements, data mapping, transformation logic, scheduling, monitoring, and fixes.Defining, implementing, and documenting business metrics with clear lineage so reporting is consistent and audit‑ready.Creating and maintaining new aggregated views and tables to simplify data querying.Coordinating across Product Engineering, DevOps/SRE, and Data to unblock ETL delivery, manage dependencies, and ensure pipelines meet reliability and data quality expectations.Maintaining documentation and governance, such as dataset specs, metric definitions, lineage, access classification, and change notes.Partnering with stakeholders to turn questions into data products that are audit‑ready and scalable.What You’ll Need5+ years of experience in an analytical role, creating impactful data‑driven solutions.A solid background or education in a quantitative discipline.Great skills with Python, SQL, or other programming languages.Experience with financial services datasets (payments, ledger, reconciliations, fraud/risk, regulatory reporting).Demonstrated experience implementing data quality controls and reconciliation checks for replicated or high‑stakes datasets.Evidence of exceptional mathematical and statistical knowledge.Nice to HaveAn advanced degree in a core STEM subject.Knowledge of data governance practices (sensitivity classification, access controls, ownership models).Familiarity with orchestration and transformation tooling such as Airflow.Experience building dashboards in Looker.We’re committed to diversity and inclusionBuilding 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 every day. We encourage applications from people with diverse backgrounds and experiences to join our multicultural, hard‑working team.Important Notice for CandidatesJob 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.#J-18808-Ljbffr