Data Analyst (Product)
Revolut · Spain
- Hybrid
- Full-time
- $100,000 / year
- Spain
Job highlights
- Analyze product data to uncover insights.
- Guide product decisions with data-driven recommendations.
- Design key business metrics and dashboards.
- Write SQL and Python for data solutions.
- Promote data literacy through workshops.
About the role
About Revolut
People deserve more from their money. More visibility, control, and 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, two 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 talented 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.
Diversity & Inclusion
Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We’re not just doing this because it's the right thing to do. We’re doing 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. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Important notice for candidates:
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.
- Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment.
- Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.
- We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.
Key skills/competency
- Data Analysis
- Product Analytics
- SQL
- Python
- Data Visualization
- Business Intelligence
- Statistical Analysis
- Problem Solving
- Database Management
- Data Literacy
Skills & topics
- Data Analyst
- Product Analyst
- SQL
- Python
- Data Science
- Business Intelligence
- Data Visualization
- Analytics
- Quantitative Analysis
- Financial Technology
How to get hired
- Tailor your resume: Highlight your 5+ years of SQL, Python, and quantitative analysis experience.
- Showcase your impact: Provide examples of analytical solutions and metric design you've created.
- Prepare for technical questions: Brush up on SQL, Python, statistics, and mathematical concepts.
- Understand Revolut: Research their mission, product suite, and data-driven culture.
- Highlight problem-solving: Emphasize your ability to find root causes and implement solutions.
Technical preparation
Behavioral questions
Frequently asked questions
- What kind of problems does a Data Analyst Product at Revolut solve?
- As a Data Analyst Product at Revolut, you will tackle complex business challenges by analyzing product data. This involves uncovering root causes of issues, designing metrics, creating data visualizations, and implementing solutions using SQL and Python to improve customer experience and drive business growth.
- What are the key technical skills required for the Data Analyst Product role at Revolut?
- The role requires at least 5 years of experience with SQL, proficiency in Python or other programming languages, and a strong foundation in mathematics and statistics. Experience in an analytical role with a proven track record of creating impactful solutions is also essential.
- How does Revolut promote data literacy among its employees?
- Revolut actively promotes data literacy by organizing and holding workshops. As a Data Analyst Product, you will contribute to this effort by sharing your expertise and knowledge to help other teams better understand and utilize data.
- What is Revolut's approach to diversity and inclusion in hiring for the Data Analyst Product position?
- Revolut is committed to diversity and inclusion, as evidenced by their D&I Framework. They encourage applications from individuals with diverse backgrounds and experiences, believing that diverse talent leads to exceptional and innovative products and services.
- What is the expected career growth for a Data Analyst Product at Revolut?
- Revolut emphasizes continuous learning and development. For a Data Analyst Product, the aim is to never stop learning, acquiring new skills, and delivering value, suggesting ample opportunities for professional growth within the company.
- How can I best prepare my application for the Data Analyst Product role at Revolut?
- To prepare your application for the Data Analyst Product role, ensure your resume clearly demonstrates your 5+ years of SQL experience, Python skills, and a quantitative background. Highlight specific examples of analytical solutions you've designed and implemented. Research Revolut's products and mission to tailor your application to their needs.
- What are some examples of 'aggregated views and tables' a Data Analyst Product might create at Revolut?
- A Data Analyst Product might create aggregated views and tables to simplify data querying for product teams. Examples could include daily active user counts by region, conversion rates for specific user flows, or summaries of customer transaction volumes, all structured for easy access and analysis.