Rev-celerator Internship Programme: Data Analyst

Job Description

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, weve helped 35 million customers get more from their money. And were not done yet. As we continue our lightning-fast growth, two things are essential to continuing our success: our people and our culture. Weve been officially certified as a Great Place to Work™ in recognition of our outstanding employee experience! So far, we have 8,000people working around the world, from our great offices or remotely, on our mission. And were 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 thesimplicity of a beautiful solution. About the role REV-CELERATOR PROGRAMME If youre in your penultimate year of study, this ones for you. Youll work with us for three months and get to know everything we do. First, kick off with a few weeks of bootcamp, where well prepare you to jump into work at Revolut with workshops, lectures, and practical exercises to start working on your skills. After a successful preparation, well launch you into on-the-job training.In this stage, youll be face-to-face with tough challenges, problem-solving and tasks to own. About the team: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 arent kept in the background, doomed to never see the impact of theirwork. Theyre some of our best and brightest problem solvers, deployed to the front-lines to work in Product Teams and deliver rock star solutions Were looking for a superstar Data Analysts who dont believe theres 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 implementthem. In this process, they never stop learning, picking up new skills, and delivering valueUp for the challenge Get in touch What youll be doing

• Building new analytical pieces for the new products were planning to launch (i.e. Dashboards and ETLs).
• Increasing visibility in our sign-up process and operational funnels
• Maintaining and improving the existing infrastructure in terms of ETLs and LookML code to make sure our data is accessible and easy to use
• Collaborating with stakeholders from operations, growth, and product teams to improve our product, and discover new insights
• Supporting business needs with ad-hoc data analysis, (e.g. interest rate sensitivity, salary incentive profitability, payments conversion rates, onboarding funnels)

What youll need

• Studies in Computer Science, Maths, Physics or a similar field
• Great skills with Python, SQL, LookML, or other programming languages
• Evidence of strong mathematical and statistics knowledge
• A portfolio of multiple coding side projects or open source contributions
• A proactive attitude
• A love for problem-solving
• Fluency in English
• To be a quick learner
• Ambitious and results-driven personality
• Excellent communication and organisational skills
• To feel comfortable working as part of a team in a fast-paced environment

Building a global financial super app isnt enough. Our Revoluters are a priority, and thats why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. Were not just doing this because its the right thing to do. Weredoing 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. Thats why we encourage applications from people with diverse backgrounds andexperiences 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.