Lawrence Livermore National Laboratory

HR Information Analyst

Lawrence Livermore National Laboratory

full-time

Posted on:

Location Type: Remote

Location: Remote • California • 🇺🇸 United States

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Salary

💰 $111,600 - $136,656 per year

Job Level

Mid-LevelSenior

Tech Stack

OraclePythonSQLTableau

About the role

  • 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)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLstatistical modelsAI/ML modelsdata transformationdata validationdata modelingregressiontime seriesclusteringNLP
Soft skills
leadershipdata storytellingmentoringcollaborationcommunicationproject managementattention to detailproblem-solvinginfluencingdocumentation