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The Interview Process
Take-Home Data Test
A notoriously difficult SQL and Python/R test. You will be given a massive, messy dataset (e.g., customer churn logs) and asked to extract actionable business insights.
Analytical Deep Dive
A live review of your take-home test. The interviewer will question your statistical methods and ask you to write complex SQL queries on the fly using screen share.
Business Case
A focus on operational efficiency. You will be asked how to use data to solve a real-world Revolut problem, like reducing the cost of customer support tickets by 50%.
Real Revolut Interview Questions
Practice these exact questions faced by previous Data Analyst / Operations Manager candidates.
1In your take-home analysis, you used a linear regression to predict user churn. Why didn't you use a random forest or a logistic regression? Defend your choice statistically. (Think Deeper / Statistics)
2Write a SQL query right now to find the top 5% of users by transaction volume who have also opened a support ticket in the last 7 days. (SQL / Live Coding)
3Customer support wait times have spiked to 45 minutes in the US market. You have access to all internal data. Walk me through exactly where you look first to 'Think Deeper' and find the root cause. (Operations / Problem Solving)
4Tell me about a time your data analysis completely contradicted the CEO's or a senior leader's strongly held belief. How did you present your findings? (Radical Candor)
5How would you measure the cannibalization effect if we launch a 'Buy Now, Pay Later' product on our existing credit card usage? (Business Acumen)
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