Write a query to find percentile rank from transactions

Last updated: August 29, 2025

Quick Overview

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

Palantir
Data Manipulation (SQL/Python)
Data Scientist
Palantir
August 29, 2025
Data Scientist
Take-home Project
Data Manipulation (SQL/Python)
Easy

86

3

2,104 solved


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

Data manipulation questions at Palantir 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
  • Write syntactically correct SQL with proper JOIN and WHERE clauses
  • Use GROUP BY and aggregate functions appropriately
  • Handle NULL values correctly in your queries
  • Explain the query execution plan at a high level
Key Topics to Cover
NULL handling and COALESCE
Data cleaning and transformation
Window functions (ROW_NUMBER, RANK, LAG, LEAD)
Pandas vectorized operations and groupby
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 optimize this query for a table with 100 million rows?
  • How would you validate the correctness of your query results?
  • How would you handle slowly changing dimensions in this scenario?
  • What would you do if this query needs to run every 5 minutes?
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