Write a query to find retention rate from clicks

Last updated: July 27, 2025

Quick Overview

Write a SQL query to calculate retention rate from the clicks table, considering nulls and duplicates.

Compass
Data Manipulation (SQL/Python)
Data Scientist
Compass
July 27, 2025
Data Scientist
Phone Screen
Data Manipulation (SQL/Python)
Medium

10

6

2,220 solved


Write a SQL query to calculate retention rate from the clicks table, considering nulls and duplicates.

This question from Compass's Phone Screen 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
Subqueries and correlated subqueries
Common Table Expressions (CTEs)
NULL handling and COALESCE
JOIN types and when to use each
Data cleaning and transformation
Pandas vectorized operations and groupby
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?
  • How would you handle slowly changing dimensions in this scenario?
  • Can you rewrite this without using subqueries?
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