Write a query to find churn rate from rides

Last updated: February 12, 2026

Quick Overview

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

Vercel
Data Manipulation (SQL/Python)
Data Scientist
Vercel
February 12, 2026
Data Scientist
Technical Screen
Data Manipulation (SQL/Python)
Medium

276

5

4,173 solved


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

Vercel 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
Common Table Expressions (CTEs)
NULL handling and COALESCE
Pandas vectorized operations and groupby
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
  • What would you do if this query needs to run every 5 minutes?
  • Can you rewrite this without using subqueries?
  • How would you handle this if the data was spread across multiple databases?
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