Join sessions and users to find retention rate

Last updated: January 15, 2026

Quick Overview

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

Lyft
Data Manipulation (SQL/Python)
Data Scientist
Lyft
January 15, 2026
Data Scientist
Technical Screen
Data Manipulation (SQL/Python)
Medium

47

4

443 solved


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

Lyft asks this during the Technical Screen because data engineering skills are critical for the role. You should be comfortable with complex joins, window functions, CTEs, and performance optimization.

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
Window functions (ROW_NUMBER, RANK, LAG, LEAD)
Data cleaning and transformation
Index optimization and query performance
Subqueries and correlated subqueries
Aggregate functions and GROUP BY
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 indexes would you create to support this query?
  • How would you validate the correctness of your query results?
  • Can you rewrite this without using subqueries?
  • How would you handle this if the data was spread across multiple databases?
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