Join products and impressions to find average revenue

Last updated: December 5, 2025

Quick Overview

Write a query joining products and sessions to produce the combined average revenue.

Bloomberg
Data Manipulation (SQL/Python)
Data Scientist
Bloomberg
December 5, 2025
Data Scientist
Phone Screen
Data Manipulation (SQL/Python)
Easy

3

7

1,344 solved


Write a query joining products and sessions to produce the combined average revenue.

This question from Bloomberg's Phone Screen 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
  • 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
Pandas vectorized operations and groupby
Common Table Expressions (CTEs)
Index optimization and query performance
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
  • What would you do if this query needs to run every 5 minutes?
  • How would you validate the correctness of your query results?
  • How would you optimize this query for a table with 100 million rows?
  • Can you rewrite this without using subqueries?
Sharpen Your Skills on Codemia

Practice similar problems with our interactive workspace, get AI feedback, and track your progress.

Practice SQL Problems
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 ...


Submit Your Answer
Markdown supported

Related Questions