Join orders and users to find time to first action

Last updated: January 16, 2026

Quick Overview

Write a query joining orders and impressions to produce the combined time to first action.

Jane Street
Data Manipulation (SQL/Python)
Data Scientist
Jane Street
January 16, 2026
Data Scientist
Onsite
Data Manipulation (SQL/Python)
Easy

1

7

379 solved


Write a query joining orders and impressions to produce the combined time to first action.

Data manipulation questions at Jane Street test your ability to work with real-world datasets. This Onsite question evaluates your SQL proficiency, understanding of data modeling, and ability to derive insights from raw data.

What the Interviewer Expects
  • Write syntactically correct SQL with proper JOIN and WHERE clauses
  • Use GROUP BY and aggregate functions appropriately
  • Handle NULL values correctly in your queries
  • Explain the query execution plan at a high level
Key Topics to Cover
Data cleaning and transformation
JOIN types and when to use each
Date/time manipulation
Aggregate functions and GROUP BY
Common Table Expressions (CTEs)
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 optimize this query for a table with 100 million rows?
  • How would you handle slowly changing dimensions in this scenario?
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