This analysis is centered around recruitment diversity and pay equity based off a human resource recruitment dataset. The goal of the analysis is to find insights into how diverse hiring practices are across departments, genders, and ethnic groups, and to assess whether compensation is fair and consistent across these demographics. By analyzing employee demographics, hiring patterns, and salary distributions, provisions for actionable insights that support inclusive hiring, fair pay policies, and data-driven HR decision-making are made available.
The organization aims to build a diverse and inclusive recruitment structure yet often lack clear visibility into how balanced their recruitment practices are or whether employees are being compensated fairly across different groups. Without proper analysis, patterns of unequal representation or pay disparities can go unnoticed. This project seeks to use HR data to uncover these hidden gaps showing how diversity reflects across departments and regions, and whether pay structures remain fair across gender and ethnicity. The goal is to turn raw employee data into insights that guide fair hiring, inclusive growth, and transparent pay decisions.
What is the representation of gender and ethnicity across departments and business units?
Do hiring trends show a balance across demographic groups and regions?
How do median salaries compare across gender and ethnic groups?