Technical Tools for Compensation Analytics Questions

Practical proficiency with the tools used to clean, analyze, and visualize compensation and payroll data. Topics include using Python with libraries such as pandas and matplotlib for data ingestion, transformation, aggregation, statistical analysis, and plotting; building reproducible analyses and notebooks; leveraging advanced spreadsheet capabilities such as pivot tables, advanced formulas, lookup functions, data tables, and Power Query; connecting to and validating exports from human resources information systems and payroll sources; automating repeatable workflows; and producing maintainable artifacts and dashboards for stakeholders.