Join products and users to find time to first action

Last updated: November 18, 2025

Quick Overview

Write a query joining products and events to produce the combined time to first action.

PayPal
Data Manipulation (SQL/Python)
Data Scientist
PayPal
November 18, 2025
Data Scientist
Phone Screen
Data Manipulation (SQL/Python)
Hard

84

6

906 solved


Write a query joining products and events to produce the combined time to first action.

PayPal 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
  • Solve complex analytical problems with elegant, readable SQL
  • Optimize queries for large-scale datasets with partitioning and indexing
  • Use recursive CTEs, lateral joins, and advanced window functions
  • Design the data model alongside the query solution
  • Discuss trade-offs between SQL and programmatic approaches (Python/pandas)
  • Consider the operational aspects: query scheduling, incremental processing
Key Topics to Cover
Date/time manipulation
Pandas vectorized operations and groupby
Index optimization and query performance
Common Table Expressions (CTEs)
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?
  • What would you do if this query needs to run every 5 minutes?
  • How would you handle slowly changing dimensions in this scenario?
  • Can you rewrite this without using subqueries?
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Sample Answer
Problem Understanding

In this problem, we need to analyze two datasets: products and events. The products table contains information about various products, while the events table logs user actions associated with ...

Approach

To solve this problem, we will follow these steps:

  1. Join the Tables: Start by performing an inner join between the products and events tables on the product identifier.
  2. **Group by User an...

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