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Technologies-expected : Python SQL technologies-optional : Java Scala C++ about-project : 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 Up for the challenge? Get in touch responsibilities : Understanding our business and its processes through our data Applying this understanding and knowledge of data to help product and services teams Developing documentation and data governance Owning the entire ETL process Designing key metrics to measure different aspects of the business Creating and maintaining new aggregated views and tables to simplify data querying Providing clean data sets to end users, modeling data in a way that empowers end users to answer their own questions requirements-expected : 5+ years of professional experience in an analytical role, creating impactful data-driven solutions Excellent background/education in a quantitative discipline Great skills with Python, SQL, or other programming languages Evidence of exceptional mathematical and statistics knowledge offered : Financial benefits that show we value your work Medical insurance for you and your close ones Flexibility to work from home, the office or abroad A free Revolut Metal subscription loaded with perks Exciting events year-round so you can get to know your team benefits : private medical care life insurance remote work opportunities flexible working time integration events birthday celebration extra leave