Product 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: Product Data Analyst
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 talented Product Data Analyst to dig into our complex databases, look for root causes of a problem, design your own solutions, and write your own code to implement them. We aim for you to never stop learning, picking up new skills and delivering value along the way.
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 our data
- Applying this understanding and knowledge of data to help product and service teams
- Designing key metrics to measure different aspects of the business
- Creating and maintaining new aggregated views and tables to simplify data querying
- Maintaining and creating new dashboards to track metrics and visualise insights
- Promoting data literacy across the company, organising and holding workshops
What You'll Need
- Previous experience in an analytical role, creating impactful solutions
- A background/education in a quantitative discipline
- 5+ years of experience with SQL
- Great skills with Python or other programming languages
- Evidence of solid mathematical and statistics knowledge
Key skills/competency
- Data Analysis
- SQL
- Python
- Product Analytics
- Quantitative Analysis
- Statistical Modeling
- Business Intelligence
- Data Visualization
- Metric Design
- Root Cause Analysis
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: Highlight analytical achievements, SQL and Python proficiency, and experience in product-focused data roles for Revolut.
- Showcase problem-solving: Prepare to discuss complex data challenges, root cause analysis, and solutions you designed and implemented at Revolut.
- Ace the technical interview: Practice SQL querying, Python scripting for data manipulation, and demonstrate strong statistical understanding relevant to Product Data Analyst roles.
- Demonstrate business acumen: Be ready to explain how your data insights can drive product improvements and business growth at Revolut.
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