HR Information Analyst

This person will lead HR’s data governance efforts and help build the foundation for scalable, trustworthy analytics. This person will create and maintain the data dictionary, support documentation standards, and analyze workforce data across domains including headcount, attrition, hiring, and survey results. The role also involves working closely with cross-functional partners to gather reporting requirements, support dashboard development, and ensure our HR data assets are well-defined, accurate, and ready for broader use — including self-service and future AI applications. You will lead end-to-end development of enterprise workforce analytics and dashboards (attrition, internal mobility, retirement risk, etc.) from scoping to executive delivery. Proactively identify emerging workforce trends and opportunities to address business challenges through data-driven insights. Build and validate advanced statistical and AI/ML models (e.g., forecasting, clustering, risk scoring, NLP for open-text) to anticipate workforce trends and surface actionable insights. Write robust SQL to source, transform, and validate datasets from Oracle/LAPIS; partner with IT to define requirements and improve data pipelines. Design user-friendly, scalable dashboards in BI tools such as MicroStrategy, Power BI, Tableau, etc. and drive visualization best practices. Serve as SME on HR data structures and metric definitions; codify and maintain the metric catalog , data dictionary , and analytical methods within the governance framework. Translate complex analysis into concise, decision-ready narratives for laboratory leadership; brief stakeholders and recommend actions. Mentor analysts on modeling, visualization, and data storytelling; champion analytic best practices and reproducibility. Collaborate across HR, Legal, Lab leadership, and IT to ensure accuracy, access, and security of HR data products. Perform other duties as assigned.