Question 1

What SQL patterns do Revolut data interviews focus on?

Accepted Answer

Interview reports for Revolut data roles emphasize product analytics: cohort retention, consecutive-day activity streaks (gaps-and-islands), running balances per customer, and funnel conversion between product actions.

Question 2

Is the Revolut SQL screen hard?

Accepted Answer

It leans intermediate-to-hard: streak detection and cohort retention both need window functions used precisely. The 12 Hard-tagged challenges in this set mirror that level; the free tier covers the ramp-up.

Question 3

What SQL dialect should I practice for Revolut?

Accepted Answer

Standard ANSI SQL. Revolut's analytics run on a Postgres-compatible stack; window functions, CTEs, and date math transfer directly. SQL Quest runs standard SQL in the browser.

Question 4

How is this different from LeetCode SQL?

Accepted Answer

These challenges are picked to match consumer-fintech analytics — retention, streaks, balances — rather than generic puzzles. Each runs on a real dataset with an AI tutor when you get stuck.

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