Write a query to find rolling 7-day average from messages

Last updated: March 28, 2026

Quick Overview

Write a SQL query to calculate rolling 7-day average from the messages table, considering nulls and duplicates.

CrowdStrike
Data Manipulation (SQL/Python)
Data Scientist
CrowdStrike
March 28, 2026
Data Scientist
Onsite
Data Manipulation (SQL/Python)
Hard

282

3

3,950 solved


Write a SQL query to calculate rolling 7-day average from the messages table, considering nulls and duplicates.

CrowdStrike asks this during the Onsite 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
  • Solve complex analytical problems with elegant, readable SQL
  • Optimize queries for large-scale datasets with partitioning and indexing
  • Use recursive CTEs, lateral joins, and advanced window functions
  • Design the data model alongside the query solution
  • Discuss trade-offs between SQL and programmatic approaches (Python/pandas)
  • Consider the operational aspects: query scheduling, incremental processing
Key Topics to Cover
Subqueries and correlated subqueries
Common Table Expressions (CTEs)
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 validate the correctness of your query results?
  • How would you handle slowly changing dimensions in this scenario?
  • Can you rewrite this without using subqueries?
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