Revolut Data Analyst Interview Questions
The questions to prepare for a Revolut Data Analyst interview. Questions from real interview reports rank first. Updated weekly.
Find the top 3 users by completed transaction volume in the last 30 days using joins and aggregation.
RevolutExplain how to detect, classify, and handle missing customer data in PostgreSQL using NULL handling and validation logic.
RevolutExplain how INNER JOIN and LEFT JOIN differ in returned rows, NULL behavior, and performance considerations in PostgreSQL.
RevolutUse joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.
Atlassian
RevolutCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Meta
Spotify
Meta ITTests whether you can translate technical complexity into clear, audience-appropriate documentation that drives understanding and action.
RevolutExplain how to test whether an observed 5% conversion rate drop is statistically significant in an experiment or before-after comparison.
RevolutPrioritize the first data cuts to diagnose low engagement in an investing tab before proposing solutions.
RevolutDefine a practical framework for measuring whether a new feature launch in a banking app is actually successful.
RevolutTests understanding of binomial distribution properties and parameter interpretation.
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