HR Analytics for People Leaders MTA
From basic metrics to predictive modeling: turning workforce data into business decisions

About this book:

***HR Analytics for People Leaders*** is a comprehensive, hands-on guide designed to help HR professionals and business managers transition from basic reporting to sophisticated predictive modeling. Recognizing that modern organizations are awash in workforce data but often lack the clarity to act on it, the book provides a pragmatic roadmap for building a data-driven culture. It bypasses the need for expensive, specialized platforms by teaching readers how to leverage accessible tools like **Excel and SQL** to solve real-world talent challenges—from identifying attrition risks and forecasting hiring demand to mapping skills gaps and ensuring pay equity.

The book follows a logical progression, beginning with the foundations of data quality, governance, and core metrics before moving into advanced diagnostic and predictive techniques. Readers will learn how to design high-impact executive dashboards, link people data to business KPIs, and utilize statistical methods like logistic regression and time series forecasting. Beyond the technical skills, the text emphasizes the "so what" of analytics, providing strategies for effective storytelling and data visualization to earn executive buy-in and drive strategic change.

In its final chapters, the book addresses the operational and ethical complexities of the field. It offers a blueprint for building a dedicated People Analytics function—detailing necessary roles, technology roadmaps, and operating rhythms—while placing a heavy emphasis on data privacy and the responsible use of AI. By the end, readers will possess a repeatable playbook to ethically and effectively use workforce insights to improve organizational performance, employee experience, and overall business outcomes.

What You'll Find Inside:

• Mastery of core HR metrics including headcount, turnover, time-to-fill, and cost-per-hire to establish workforce health baselines.
• Practical workflows for data cleaning and preparation using Excel and querying HRIS/ATS databases directly with SQL.
• Advanced techniques for predicting employee attrition and forecasting future hiring demand using logistic regression and time series analysis.
• Strategies for linking people data to business KPIs like revenue per employee, profit, and customer satisfaction to demonstrate HR's ROI.
• Frameworks for implementing DEI analytics, skills gap mapping, and experimental designs like A/B testing to drive evidence-based talent decisions.

Who's It For:

This book is designed for HR business partners, people managers, and aspiring analytics practitioners who want to transition from basic reporting to strategic workforce modeling. It is especially beneficial for those with a foundational knowledge of Excel and SQL who seek to solve real-world talent problems using data-driven insights. It also serves as a guide for HR leaders looking to build a dedicated people analytics function while navigating the ethics of AI and data privacy.