Write a query to find average revenue from transactions

Last updated: September 1, 2025

Quick Overview

Write a SQL query to calculate average revenue from the transactions table, considering nulls and duplicates.

Visa
Data Manipulation (SQL/Python)
Data Scientist
Visa
September 1, 2025
Data Scientist
Take-home Project
Data Manipulation (SQL/Python)
Medium

408

8

4,199 solved


Write a SQL query to calculate average revenue from the transactions table, considering nulls and duplicates.

Visa asks this during the Take-home Project 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
Date/time manipulation
JOIN types and when to use each
Data cleaning and transformation
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
  • Can you rewrite this without using subqueries?
  • How would you handle slowly changing dimensions in this scenario?
  • How would you handle this if the data was spread across multiple databases?
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