Extant literature on HR analytics has explored a range of topics, including the drivers and barriers to adoption, the applications of analytics in various HR domains, and the potential benefits that can be derived from the adoption of these practices, yet a comprehensive understanding of the current state of HR analytics research is essential. The objective of the current study is to provide a thorough and systematic overview of the existing body of knowledge in HR analytics. The current study utilises 198 articles published between 2003 and 2024 retrieved from the Scopus database. This study adopts a three-pronged approach, combining systematic literature review (SLR), bibliometric analysis, and content analysis to delineate the existing literature in the domain of HR Analytics. The software R-Studio, Biblioshiny, and VOS viewer have been used to analyse the studies. The investigations conducted in this context have explicitly highlighted that by leveraging the power of analytics, HR professionals can gain a deep understanding of workforce dynamics, predict future trends, and customise the training and development requirements to align with the specific organisational goals. At the same time, substantial academic literature exists in this context, such as data-driven insights to improve human resource management and optimise decision-making. Several emerging areas remain unexplored, necessitating further empirical studies to validate the generalizability of previous findings.