Calculate engagement score per date
Last updated: July 15, 2025
Quick Overview
Write a query to compute engagement score grouped by region, handling edge cases like nulls and duplicates.
Goldman Sachs
July 15, 202517
7
4,469 solved
Write a query to compute engagement score grouped by region, handling edge cases like nulls and duplicates.
Data manipulation questions at Goldman Sachs test your ability to work with real-world datasets. This Technical Screen 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
How to Approach This
- Clarify the schema and expected output format before writing queries.
- Use CTEs (WITH clauses) to break complex queries into readable steps.
- Consider window functions (ROW_NUMBER, RANK, LAG, LEAD) for ranking and sequential analysis.
- Watch for NULLs, duplicates, and edge cases in JOINs and GROUP BY.
- For pandas, prefer vectorized operations over row-by-row iteration.
Possible Follow-up Questions
- What indexes would you create to support this query?
- 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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Practice SQL ProblemsSample Answer
Problem Understanding
The task is to compute an engagement score grouped by region for a given date. The engagement score might be derived from various activities recorded in a hypothetical table, such as user interactions...
Approach
- Identify the Source Table: Determine the table that contains the engagement data. For this example, let's assume it is named
engagement_data. - Select Relevant Columns: Focus on the `dat...
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