HR Information Analyst
Lawrence Livermore National Laboratory
full-time
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteSalary
💰 $111,600 - $164,028 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
- Translate complex analysis into concise, decision-ready narratives for laboratory leadership; brief stakeholders and recommend actions
Requirements
- 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 modelsforecastingclusteringrisk scoringNLPdata modelingpredictive methodsdata extraction
Soft skills
leadershipstorytellingcommunicationproject managementattention to detaildata qualitygovernance practices