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Responsibilities:
- Lead end-to-end development of enterprise workforce analytics and dashboards.
- Proactively identify emerging workforce trends.
- Build and validate statistical and AI/ML models to anticipate workforce trends.
Qualifications:
- Bachelor’s degree in Business, Finance, Mathematics, Economics, or a related quantitative field.
- Significant experience building advanced workforce/people analytics or BI solutions.
- Hands-on experience applying statistical/predictive methods using Python/R/Alteryx.
Additional Qualifications:
- Recognized as an expert within the HR function applying analytical concepts.
- Expert knowledge and significant experience applying HR practices, regulatory requirements, techniques, standards, processes, and systems.
- Significant and broad experience with decision making, problem solving and analytical skills to independently solve complex issues.
Lawrence Livermore National Laboratory
Lawrence Livermore National Laboratory (LLNL) advances science and technology to strengthen U.S. security and promote global stability. With a culture built on innovation and operational excellence, LLNL empowers experts to make a real impact.