HR Information Analyst
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Job Description
Workforce Analyst at Lawrence Livermore National Laboratory leading HR’s data governance and workforce analytics efforts. Focused on scalable, trustworthy analytics and mentoring analysts.
Responsibilities:
- 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, partnering with HR and leadership to define and prioritize analytic questions.
- 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.
Requirements:
- Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA).
- Bachelor’s degree in Business, Finance, Mathematics (emphasis in Statistics), Economics, or a related field or quantitative field.
- Significant experience building advanced workforce/people analytics or BI solutions with measurable impact.
- Advanced knowledge of SQL for data extraction, transformation, and validation; strong data modeling fundamentals.
- Proficiency with MicroStrategy (or similar BI) for dashboard design, interactivity, and performance tuning.
- Hands-on experience applying statistical/predictive methods (regression, time series, clustering) using Python/R/Alteryx.
- Proven ability to lead projects independently under limited direction and influence non-technical audiences through clear storytelling.
- Strong documentation discipline and attention to data quality and governance practices.
Benefits:
- Flexible Benefits Package
- 401(k)
- Relocation Assistance
- Education Reimbursement Program
- Flexible schedules (*depending on project needs)
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