Join messages and orders to find churn rate

Last updated: February 10, 2026

Quick Overview

Write a query joining messages and users to produce the combined churn rate.

Roblox
Data Manipulation (SQL/Python)
Data Scientist
Roblox
February 10, 2026
Data Scientist
Onsite
Data Manipulation (SQL/Python)
Medium

47

7

733 solved


Write a query joining messages and users to produce the combined churn rate.

This question from Roblox's Onsite tests practical data skills. The interviewer wants to see clean, efficient queries that handle edge cases like NULLs, duplicates, and large datasets.

What the Interviewer Expects
  • Use advanced SQL features: window functions, CTEs, subqueries
  • Write efficient queries that avoid common performance pitfalls
  • Handle complex data transformations with multiple joins and aggregations
  • Discuss indexing strategy and query optimization
  • Address data quality issues: duplicates, missing values, outliers
Key Topics to Cover
Date/time manipulation
Window functions (ROW_NUMBER, RANK, LAG, LEAD)
Common Table Expressions (CTEs)
NULL handling and COALESCE
How to Approach This
  1. Clarify the schema and expected output format before writing queries.
  2. Use CTEs (WITH clauses) to break complex queries into readable steps.
  3. Consider window functions (ROW_NUMBER, RANK, LAG, LEAD) for ranking and sequential analysis.
  4. Watch for NULLs, duplicates, and edge cases in JOINs and GROUP BY.
  5. For pandas, prefer vectorized operations over row-by-row iteration.
Possible Follow-up Questions
  • What would you do if this query needs to run every 5 minutes?
  • What indexes would you create to support this query?
  • How would you handle slowly changing dimensions in this scenario?
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