S&P Global Interview Questions
Published March 27, 2026
Estimated reading time: 5 minutes
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Data Structures & Algorithms
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SQL
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Machine Learning
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Probability
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Business Case
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S&P Global Interview Questions
Practice for the S&P Global interview with these recently asked interview questions.
| Question | Topic | Difficulty | ||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SQL | Medium | |||||||||||||||||||||||||
You’re given two tables: employees and managers. Find the names of all employees who joined before their manager. Example: Input:
Output:
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Behavioral | Medium | |||||||||||||||||||||||||
AI & Agentic Systems | Hard | |||||||||||||||||||||||||
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SQL | Easy | |
Machine Learning | Medium | |
Statistics | Medium | |
SQL | Hard | |
Machine Learning | Medium | |
Python | Easy | |
Deep Learning | Hard | |
SQL | Medium | |
Statistics | Easy | |
Machine Learning | Hard |
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S&P Global Salaries by Position
Most data science positions fall under different position titles depending on the actual role.
From the graph we can see that on average the Data Engineer role pays the most with a $132,998 base salary while the Data Analyst role on average pays the least with a $86,310 base salary.
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