Data Analyst (Engineer)

Revolut; Porto; Sur place; EUR 52 000 - 78 000; Plein temps

Résumé du poste

Revolut in Porto is seeking a capable Data Analyst to dive into complex datasets, uncover root causes, and build scalable data solutions that empower product teams and customers.

You will own ETL processes, design key metrics, and create new aggregated views to simplify querying, while collaborating with cross-functional teams to turn data into actionable insights across millions of users worldwide.

Qualifications

• 5+ years of experience in an analytical role delivering data-driven solutions.
• Background in a quantitative discipline with strong math and statistics knowledge.
• Proficient in Python and SQL or equivalent programming languages.

Responsabilités

• Understand our business processes through data.
• Apply data understanding to help product and services teams.
• Develop documentation and data governance.
• Own the entire ETL process.
• Design key metrics to measure business aspects.
• Create and maintain new aggregated views and tables to simplify data querying.
• Provide clean data sets and model data for end users.

Connaissances

Python

SQL

Data analysis

Statistics

Formation

Bachelor’s degree in a quantitative discipline

Outils

ETL tools

SQL databases

Description du poste

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 80+ 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 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 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

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.

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.