Join users and orders to find conversion rate

Last updated: January 15, 2026

Quick Overview

Write a query joining users and sessions to produce the combined conversion rate.

Brex
Data Manipulation (SQL/Python)
Data Scientist
Brex
January 15, 2026
Data Scientist
Take-home Project
Data Manipulation (SQL/Python)
Medium

144

6

3,314 solved


Write a query joining users and sessions to produce the combined conversion rate.

This question from Brex's Take-home Project 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
JOIN types and when to use each
Date/time manipulation
Common Table Expressions (CTEs)
Window functions (ROW_NUMBER, RANK, LAG, LEAD)
Index optimization and query performance
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
  • How would you validate the correctness of your query results?
  • Can you rewrite this without using subqueries?
  • What would you do if this query needs to run every 5 minutes?
  • How would you optimize this query for a table with 100 million rows?
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