Compensation Analytics and Tools Questions

Covers the practical technical skills and analytical approaches used to generate rigorous compensation insights. Topics include extracting and transforming pay and population data with structured query language, building analyses and models in spreadsheet software, scripting with languages such as Python for data manipulation and visualization, and using compensation survey platforms and vendor data. Candidates should demonstrate cohort and progression analysis, use of window and aggregation functions, forecasting and payout modeling, sensitivity and scenario analysis, automation of repeatable processes, and practices for reproducible and auditable analysis. This topic also assesses familiarity with common compensation software and how to translate technical results into clear recommendations for stakeholders.