HR Generalist
Lincoln Electric
HR Information Analyst
Lawrence Livermore National Laboratory
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteSalary
💰 $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.
