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IntermediateBEHAVIORAL
Tell me about a time you used SQL to support a longer-term, strategic decision (such as improving a recurring process, tracking a KPI, or identifying an opportunity/problem in operations). How did you frame the question, design your queries, validate the results, and translate your findings into actionable recommendations?
SQL internship
General

Sample Answer

During my last internship in operations analytics, our manager felt our weekly onboarding reports weren’t telling us why new users were dropping off. I framed the question as: “Where exactly in the first 14 days are we losing people, and what patterns predict that?” I wrote SQL queries that joined signups, feature-usage, and support-ticket tables for about 60k new accounts over six months, aggregating by day and cohort. I added checks on row counts, null rates, and spot-checked random users against the app’s admin UI to validate the data. The analysis showed that users who didn’t complete profile setup in the first 48 hours were 3.2x more likely to churn. I recommended a triggered email and in-app prompt focused on profile completion. After this change, the team saw a 17% increase in 30-day activation over the next quarter.

Keywords

Framed a clear, strategic question around onboarding and churnDesigned multi-table SQL joins and cohort-based aggregationsValidated data with row counts, null checks, and spot checksLinked findings to a specific product change and measurable KPI lift
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