SQL and Spreadsheet Analysis for Compensation Questions

Assesses practical data manipulation and modeling skills used in compensation analytics. Candidates should demonstrate ability to write Structured Query Language queries to extract filter aggregate and join compensation and payroll data and to use window functions subqueries and aggregations for cohort and trend analysis. The topic also covers advanced spreadsheet proficiency including pivot tables lookup formulas conditional logic and structured references and best practices for automating repeatable workflows and validating results. Interviewers may ask candidates to translate a business question into query logic or spreadsheet steps and to discuss performance and reproducibility considerations.