Join orders and users to find DAU/MAU ratio

Last updated: February 3, 2026

Quick Overview

Write a query joining orders and impressions to produce the combined DAU/MAU ratio.

Uber
Data Manipulation (SQL/Python)
Data Scientist
Uber
February 3, 2026
Data Scientist
Take-home Project
Data Manipulation (SQL/Python)
Medium

193

8

696 solved


Write a query joining orders and impressions to produce the combined DAU/MAU ratio.

This question from Uber's Take-home Project tests practical data skills. The interviewer wants to see clean, efficient queries that handle edge cases like NULLs, duplicates, and large datasets.

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
Pandas vectorized operations and groupby
Date/time manipulation
Aggregate functions and GROUP BY
Data cleaning and transformation
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?
  • How would you optimize this query for a table with 100 million rows?
  • How would you validate the correctness of your query results?
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