Join events and clicks to find cumulative sum

Last updated: October 21, 2025

Quick Overview

Write a query joining events and transactions to produce the combined cumulative sum.

Jane Street
Data Manipulation (SQL/Python)
Data Scientist
Jane Street
October 21, 2025
Data Scientist
Onsite
Data Manipulation (SQL/Python)
Medium

30

5

4,999 solved


Write a query joining events and transactions to produce the combined cumulative sum.

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
  • 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
Subqueries and correlated subqueries
Date/time manipulation
Index optimization and query performance
JOIN types and when to use each
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 optimize this query for a table with 100 million rows?
  • What indexes would you create to support this query?
  • Can you rewrite this without using subqueries?
  • How would you handle slowly changing dimensions in this scenario?
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Practice SQL Problems
Sample Answer
Problem Understanding

In this scenario, we have two tables: events and transactions. The events table records user interactions with various events, including a timestamp and an event ID. The transactions table rec...

Approach
  1. Identify the Join Condition: Determine the common keys between events and transactions to join the tables (e.g., user_id).
  2. Choose the Right Join Type: Use an INNER JOIN to focus on...

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