The rapid integration of Human Resource (HR) analytics into organizational decision-making has transformed how organizations manage talent, performance, and employee engagement. While HR analytics enhances data-driven efficiency and strategic alignment, its growing dependence on employee data raises significant ethical concerns, including privacy intrusion, algorithmic bias, lack of transparency, and potential misuse of sensitive information. This conceptual paper reconceptualizes HR analytics through a human-centric ethical perspective by developing an integrative framework for ethical HR analytics. Drawing on interdisciplinary insights from Human Resource Management, data ethics, and responsible artificial intelligence, the study identifies five core ethical dimensions—privacy, fairness, transparency, accountability, and employee well-being—as foundational pillars of responsible analytics practices. The paper further proposes a conceptual model linking ethical HR analytics with employee trust, organizational legitimacy, and sustainable organizational performance. By shifting the discourse from technical efficiency to ethical responsibility, this study contributes to the emerging literature on responsible HRM and provides actionable insights for organizations seeking to balance data-driven innovation with human values
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