Join sessions and sessions to find time to first action

Last updated: April 8, 2026

Quick Overview

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

Vercel
Data Manipulation (SQL/Python)
Data Scientist
Vercel
April 8, 2026
Data Scientist
Phone Screen
Data Manipulation (SQL/Python)
Medium

11

14

2,419 solved


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

Data manipulation questions at Vercel test your ability to work with real-world datasets. This Phone Screen 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
Aggregate functions and GROUP BY
Common Table Expressions (CTEs)
Data cleaning and transformation
JOIN types and when to use each
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 handle this if the data was spread across multiple databases?
  • What indexes would you create to support this query?
  • How would you validate the correctness of your query results?
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