14 hours ago

Data Analyst Product

Revolut

Hybrid
Full Time
£75,000
Hybrid

Job Overview

Job TitleData Analyst Product
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary£75,000
LocationHybrid

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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: Data Analyst Product

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 Product 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

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.

Key skills/competency

  • SQL
  • Python
  • Data Analysis
  • Product Analytics
  • Business Intelligence
  • Data Modeling
  • Statistics
  • Metrics Design
  • Dashboards
  • Data Visualisation

Tags:

Data Analyst Product
data analysis
product insights
metric design
dashboarding
data visualization
root cause analysis
data literacy
business intelligence
solution design
data querying
SQL
Python
databases
data modeling
statistics
aggregated views
programming languages
data solutions
analytics tools

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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 your 5+ years of experience in SQL, Python, and creating impactful analytical solutions for product teams.
  • Showcase analytical impact: Provide concrete examples of how your data insights have directly influenced product decisions and business outcomes.
  • Prepare for technical interviews: Practice advanced SQL querying, Python for data manipulation, and demonstrate strong mathematical and statistical knowledge.
  • Demonstrate business acumen: Understand Revolut's financial products, customer base, and how data drives their strategy in the fintech industry.

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