Join clicks and rides to find average revenue

Last updated: January 5, 2026

Quick Overview

Write a query joining clicks and transactions to produce the combined average revenue.

Doordash
Data Manipulation (SQL/Python)
Data Scientist
Doordash
January 5, 2026
Data Scientist
Take-home Project
Data Manipulation (SQL/Python)
Medium

121

15

3,991 solved


Write a query joining clicks and transactions to produce the combined average revenue.

Data manipulation questions at Doordash test your ability to work with real-world datasets. This Take-home Project 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
JOIN types and when to use each
Common Table Expressions (CTEs)
Aggregate functions and GROUP BY
Subqueries and correlated subqueries
Pandas vectorized operations and groupby
NULL handling and COALESCE
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?
  • What would you do if this query needs to run every 5 minutes?
  • How would you handle this if the data was spread across multiple databases?
  • How would you validate the correctness of your query results?
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