People Analytics Explained: 11 (HR Skills Guide)

People analytics provides exciting ways to understand your workplace and make smarter decisions, and you don't need to be a data scientist to get started.

People Analytics Explained by Kinsey Lii s your step-by-step guide to building confidence with data, using your strengths and applying insights to everyday HR challenges. From hiring and engagement to performance, you'll discover how to spot trends, interpret information and show the real value of HR.

This book breaks down the essentials with clear examples and a practical framework that makes analytics simple and approachable. With People Analytics Explained, you'll be ready to use analytical evidence to make an impact, boost your confidence and grow your career as an analyst.

The HR Skills Guide series of books:
Discover the key HR functions, elevate your knowledge and prepare yourself for the people profession with the HR Skills Guide series. Written by experts for new and aspiring HR professionals, this collection of accessible guides are packed with practical, reliable advice on key topics such as talent acquisition, employee relations, people analytics and EDI to give you the essential skills needed to kickstart your career in HR.

Kinsey Li, based in London UK, is a globally recognised leader in people analytics, with deep experience building and scaling analytics functions across both industry and consulting. Named one of the Top 10 People Analytics Influencers Outside the United States, she has led senior roles at organisations including EY and Aon Hewitt, where she built high-performing teams across APAC and Europe.
She speaks and writes regularly on the practical application of HR technologies and the future of work. She also serves on the advisory board of the MSc Human-Centric Management and People Analytics at University College London (UCL). Her work focuses on cutting through hype to develop sustainable people analytics functions that balance technical rigour with the human side of organisations.