Lawrence Livermore National Laboratory

HR Information Analyst

Lawrence Livermore National Laboratory

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $111,600 - $136,656 per year

Job Level

Mid-LevelSenior

Tech Stack

OracleSQLTableau

About the role

  • We’re looking for a Workforce Analyst to 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.
  • This position is in the Human Resources (HR) Directorate.
  • This position offers a full-time off-site work schedule. You will collaborate and contribute through virtual interactions. Occasional on-site presence to meet business needs may be required.
  • This is a Flexible Term appointment 2 years in length.
  • You’ll be the connective tissue helping teams speak the same data language.
  • Perform other duties as assigned.

Requirements

  • Must be eligible to access the Laboratory in compliance with Section 3112 of the NDAA.
  • Bachelor’s degree in Business, Human Resources, Information Systems, Data Science, or a related field, or equivalent experience.
  • Significant experience working with HR data, workforce analytics, or business intelligence in a professional setting.
  • Advanced SQL skills, with the ability to independently write complex queries, join large datasets, and troubleshoot data issues across systems.
  • Strong analytical skills with the ability to interpret workforce data across areas such as headcount, hiring, attrition, telecommuting, and survey insights.
  • Significant experience gathering business requirements and translating them into actionable dashboard or reporting specifications.
  • Proficiency in at least one business intelligence platform, such as MicroStrategy, Tableau, or Power BI.
  • Strong collaboration skills and the ability to work across cross-functional teams, influence without formal authority, and navigate fragmented data environments.
  • Excellent written and verbal communication skills, including the ability to document data logic and communicate insights to both technical and non-technical audiences.
  • Familiarity with AI/ML data readiness concepts, such as preparing structured and well-documented datasets for predictive analytics.
  • Experience applying data stewardship or metadata management practices beyond documentation — e.g., aligning stakeholders, managing data ownership, or curating metric libraries.
  • Experience with HR systems (e.g., PeopleSoft, Oracle) and a strong understanding of HR data structures and flows.
  • Professional certification or formal coursework in data governance, analytics, or business intelligence (e.g., DAMA, CDMP, Tableau, or equivalent) to support continued growth in this space.