Write a query to find retention rate from users

Last updated: June 13, 2026

Quick Overview

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

Mastercard
Data Manipulation (SQL/Python)
Data Scientist
Mastercard
June 13, 2026
Data Scientist
Onsite
Data Manipulation (SQL/Python)
Medium

9

5

1,539 solved


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

This question from Mastercard's Onsite 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
Common Table Expressions (CTEs)
Subqueries and correlated subqueries
Index optimization and query performance
NULL handling and COALESCE
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 would you do if this query needs to run every 5 minutes?
  • What indexes would you create to support this query?
  • How would you handle slowly changing dimensions in this scenario?
Sharpen Your Skills on Codemia

Practice similar problems with our interactive workspace, get AI feedback, and track your progress.

Practice SQL Problems
Sample Answer
Approach

Break the problem into logical steps before writing SQL. Think about: 1. What tables do I need to join and on which keys? 2. What filtering (WHERE) d...

Solution Pattern

```sql WITH filtered_data AS ( SELECT * FROM main_table WHERE condition = 'value' AND date_col >= '2024-01-01' ), aggregated AS ( SELECT ...


Submit Your Answer
Markdown supported

Related Questions