Data Analyst Engineer
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 65+ 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 10,000+ 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 Engineer 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.
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
- Understanding our business and its processes through 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, modelling data in a way that empowers end users to answer their own questions
What You'll Need
- 5+ years of experience in an analytical role, creating impactful data-driven solutions
- A solid background/education in a quantitative discipline
- Great skills with Python, SQL, or other programming languages
- Evidence of exceptional mathematical and statistics knowledge
Nice to have
- An advanced degree in a core STEM subject
- Experience with additional programming languages (Java, Scala, C++, etc.)
- School/university Olympic medal competitions in physics, maths, economics, or programming
Key skills/competency
- Data Analysis
- ETL Process
- SQL
- Python
- Data Modeling
- Statistics
- Quantitative Analysis
- Data Governance
- Business Intelligence
- Problem Solving
How to Get Hired at Revolut
- Research Revolut's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for data analysis: Highlight your 5+ years of experience, quantitative background, and expertise in Python, SQL, and statistics, aligning with the Data Analyst Engineer role.
- Showcase project impact: Prepare to discuss data-driven solutions you've designed, implemented, and the business value they delivered, specifically for Revolut's product teams.
- Master technical fundamentals: Brush up on SQL, Python, data modeling, ETL processes, and statistical concepts, as these are critical for a Data Analyst Engineer at Revolut.
- Demonstrate problem-solving abilities: Be ready to articulate how you identify root causes from complex data and design scalable, practical solutions, emphasizing your engineering mindset.
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