Data Analyst
Revolut
Job Overview
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Job Description
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 70+ 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 Data Analyst to dig into our complex databases and look for the root cause of a problem. You'll design solutions by writing your own code to implement them.
This is an opportunity to apply your skills while picking up new ones and delivering value for millions of customers around the world.
Up to shape what's next in finance? Let's get in touch.
What You’ll Be Doing
- Building and adapting data models and ETL processes for regulatory reporting
- Translating complex requirements into clear, efficient data solutions
- Maintaining and improving reporting infrastructure, ensuring accuracy, compliance, and high data quality
- Working with Regulatory Reporting Managers and business teams to align on logic and data needs
- Monitoring and improving data reliability, applying impeccable attention to detail
- Setting up local regulatory reporting processes
What You'll Need
- 3+ years of experience in a data-focused analytical role, creating impactful solutions
- Previous experience in the financial/banking industry
- A background/education in a quantitative discipline, with evidence of substantial mathematical and statistics knowledge
- Great skills with Python, SQL, or other programming languages
Nice to have
- Experience in accounting/financial reporting
- An advanced degree in a core STEM subject
- Olympiad competition participation in physics, mathematics, economics, or programming at the school or university level
Key skills/competency
- Data Modeling
- ETL Processes
- Regulatory Reporting
- SQL
- Python
- Data Quality
- Financial Services
- Statistical Analysis
- Problem Solving
- Business Intelligence
How to Get Hired at Revolut
- Research Revolut's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Customize your resume: Tailor your experience in data modeling, ETL, and regulatory reporting to match the Data Analyst role at Revolut.
- Highlight financial industry experience: Emphasize any background in banking or financial services, a key requirement.
- Showcase quantitative skills: Prepare to discuss your mathematical and statistical knowledge, crucial for Revolut's data challenges.
- Master technical skills: Practice SQL and Python extensively, as these are critical programming languages for this Data Analyst position.
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