Employee satisfaction is a critical predictor of organizational productivity, retention and overall business performance. The emergence of HR Analytic has transformed how organizations measure and respond to workforce satisfaction by enabling evidence-based, data-driven HR decisions. This study, conducted at Smart Bridge Educational Services Pvt. Ltd. — a fast-growing Indian Ed-tech organization — aims to identify the major determinants of employee satisfaction and to evaluate the role of HR Analytic in measuring and improving employee experience. A descriptive and analytical research design was adopted. Primary data was collected from 109 employees through a structured questionnaire of 25 items measured on a five-point Like-rt scale and analyzed using SPSS through descriptive statistics, Bernbach's alpha reliability analysis, Pearson correlation and multiple regression. The findings reveal that Work Environment & Culture (WEC) and Compensation & Benefits (CB) are the strongest predictors of employee satisfaction, while Training & Career Development (TCD) and HR Analytic Practices (HRP&A) exhibit positive but weaker influence. The combined model explains approximately 30% of the variance in employee satisfaction. The study concludes that a structured application of HR Analytic, supported by consistent investment in workplace culture, fair compensation and transparent career pathways, can substantially enhance employee satisfaction at Smart Bridge.

Barika Srujana, Mrs.Karuna Sudha Sagi,"An Analytical Approach to Measuring and Improving Employee Satisfaction Using HR Analytics" International Journal of Advance Research in Science, Management, Engineering and Technology, V1(2): Page(94-104) May-June 2026. ISSN: 3139-1141. www.ijarsmet.com. Published by Scientific and Academic Research Publishing.