<![CDATA[This study examines how human resource (HR) analytics and emotional intelligence jointly enhance employee engagement in Indonesian startup companies. A qualitative evidence-synthesis design was adopted to avoid attributing invented primary data to organizations or employees. The analytical corpus comprised peer-reviewed studies, qualitative startup research, systematic reviews, an official startup-ecosystem report, and Indonesia’s personal-data-protection regulation. Documents were purposively selected for their relevance to HR analytics, emotional intelligence, engagement, startup employment, and the Indonesian context. Reflexive thematic analysis generated six interrelated themes: analytics as an organizational listening infrastructure; emotional intelligence as a human interpretive capability; conversion of insight into individualized action; psychological safety and data trust; startup contingencies; and engagement as a reciprocal, dynamic state. The findings indicate that analytics does not directly create engagement. It strengthens engagement when reliable employee data are interpreted by emotionally intelligent leaders, translated into visible and fair interventions, and governed through transparent data practices. Conversely, intrusive monitoring, decontextualized metrics, or managerial insensitivity can reduce trust and disengage employees. The study proposes a Humanized Analytics–Engagement framework in which emotional intelligence converts analytical visibility into relationally appropriate action, while ethical governance preserves psychological safety. The article extends engagement and Job Demands–Resources perspectives to data-intensive startup workplaces and provides a practical implementation model for Indonesian founders and HR leaders.]]>
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