Join impressions and sessions to find retention rate

Last updated: September 19, 2025

Quick Overview

Write a query joining impressions and events to produce the combined retention rate.

Atlassian
Data Manipulation (SQL/Python)
Data Scientist
Atlassian
September 19, 2025
Data Scientist
Onsite
Data Manipulation (SQL/Python)
Easy

113

8

4,091 solved


Write a query joining impressions and events to produce the combined retention rate.

Data manipulation questions at Atlassian test your ability to work with real-world datasets. This Onsite 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
Aggregate functions and GROUP BY
Pandas vectorized operations and groupby
Data cleaning and transformation
Index optimization and query performance
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
  • What would you do if this query needs to run every 5 minutes?
  • Can you rewrite this without using subqueries?
  • How would you handle this if the data was spread across multiple databases?
  • What indexes would you create to support this query?
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