Calculate DAU/MAU ratio per user

Last updated: September 1, 2025

Quick Overview

Write a query to compute DAU/MAU ratio grouped by date, handling edge cases like nulls and duplicates.

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

128

5

391 solved


Write a query to compute DAU/MAU ratio grouped by date, handling edge cases like nulls and duplicates.

Palantir 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
Common Table Expressions (CTEs)
Subqueries and correlated subqueries
Index optimization and query performance
JOIN types and when to use each
Pandas vectorized operations and groupby
Window functions (ROW_NUMBER, RANK, LAG, LEAD)
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 validate the correctness of your query results?
  • How would you handle this if the data was spread across multiple databases?
  • What would you do if this query needs to run every 5 minutes?
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Sample Answer
Approach

Break the problem into logical steps before writing SQL. Think about: 1. What tables do I need to join and on which keys? 2. What filtering (WHERE) d...

Solution Pattern

```sql WITH filtered_data AS ( SELECT * FROM main_table WHERE condition = 'value' AND date_col >= '2024-01-01' ), aggregated AS ( SELECT ...


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