Question 1

What SQL topics does Stripe focus on?

Accepted Answer

Stripe SQL interviews are heavy on revenue metrics (MRR, ARR, net new MRR including expansion and contraction), cohort retention analysis, payment success/failure rate breakdowns, and fraud signal aggregation. Expect datasets with charges, subscriptions, disputes, and merchants.

Question 2

Does Stripe ask currency and timezone questions in SQL?

Accepted Answer

Yes. Stripe processes payments in ~135 currencies across all global timezones, so expect at least one question involving currency conversion, timezone-aware bucketing (DATE_TRUNC with AT TIME ZONE), or handling multi-currency aggregation correctly.

Question 3

How deep does Stripe go on MRR calculations?

Accepted Answer

Very deep. A common prompt asks you to compute net new MRR broken down into new business, expansion, contraction, churn, and reactivation. This tests CASE expressions, LAG/LEAD window functions, and understanding of subscription lifecycles end-to-end.

Question 4

What SQL dialect does Stripe use?

Accepted Answer

Stripe's data stack uses Presto/Trino for analytics and Snowflake for some workloads. Interviews accept standard ANSI SQL. Familiarity with window functions, date manipulation, and CTEs covers the core of what gets tested.

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