Write a query to find retention rate from products

Last updated: August 15, 2025

Quick Overview

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

HubSpot
Data Manipulation (SQL/Python)
Data Scientist
HubSpot
August 15, 2025
Data Scientist
Phone Screen
Data Manipulation (SQL/Python)
Medium

7

5

4,919 solved


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

HubSpot asks this during the Phone 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
JOIN types and when to use each
NULL handling and COALESCE
Pandas vectorized operations and groupby
Data cleaning and transformation
Window functions (ROW_NUMBER, RANK, LAG, LEAD)
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?
  • What indexes would you create to support this query?
  • How would you optimize this query for a table with 100 million rows?
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