Join sessions and rides to find churn rate

Last updated: September 9, 2025

Quick Overview

Write a query joining sessions and clicks to produce the combined churn rate.

Waymo
Data Manipulation (SQL/Python)
Data Scientist
Waymo
September 9, 2025
Data Scientist
Take-home Project
Data Manipulation (SQL/Python)
Medium

51

3

2,437 solved


Write a query joining sessions and clicks to produce the combined churn rate.

This question from Waymo'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
Data cleaning and transformation
Pandas vectorized operations and groupby
Date/time manipulation
Aggregate functions and GROUP BY
Window functions (ROW_NUMBER, RANK, LAG, LEAD)
Subqueries and correlated subqueries
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 optimize this query for a table with 100 million rows?
  • What indexes would you create to support this query?
  • Can you rewrite this without using subqueries?
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