• Dr. Priyanka Wandhe
• Ms. Roshni Chitare
• Ms. Pratiksha Taiwade
• Mr. Sheel Khaparde
• Mr. Shashank Shinde

The integration of Human Resource (HR) analytics throughout the employee lifecycle is transforming traditional HR practices, providing organizations with data-driven insights to enhance decision-making, improve employee experience, and optimize talent management strategies. This paper explores the role of HR analytics in managing the employee lifecycle, from onboarding to exit. We analyze how data collected at each stage—from recruitment and onboarding to performance management, engagement, development, and eventual exit—can be leveraged to create more personalized and effective HR interventions. Through a review of current literature and case studies, we identify key HR metrics and predictive analytics tools that assist in talent acquisition, employee retention, productivity enhancement, and turnover reduction. Furthermore, we examine the challenges and ethical considerations associated with the use of employee data and the potential implications for organizational culture and employee privacy. The paper concludes by outlining best practices for integrating HR analytics into every phase of the employee journey and offers recommendations for organizations looking to harness the power of data to foster a more engaged and high-performing workforce.

HR Analytics, Employee Lifecycle, Onboarding, Talent Acquisition, Performance Management, Employee Engagement, Employee Retention, Predictive Analytics, Workforce Optimization, Employee Exit.

"HR Analytics and the Employee Lifecycle: From Onboarding to Exit", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.c578-c599, January-2025, Available :http://www.jetir.org/papers/JETIR2501264.pdf

"HR Analytics and the Employee Lifecycle: From Onboarding to Exit", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. ppc578-c599, January-2025, Available at : http://www.jetir.org/papers/JETIR2501264.pdf