HR Information Analyst - job 1 of 2

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory’s mission.

Pay Range

$111,600 - $136,656 Yearly at the H07.3 level

$133,950 - $164,028 Yearly at the H07.4 level

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage.  An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.

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.

You will

• 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.

In addition at the H07.4 level:

• Plan, schedule and manage the implementation and administration of recurring and ad hoc processes or programs, including but not limited to the annual CIP and Salary Review processes, classification restructuring, workforce reviews, Critical Skills identification, etc.
• May mentor less experienced HR Information team members and internal and external personnel on HR Information and other diverse HR topics.
• Approve and present data in various formats for a variety of audiences, including senior management and DOE.
• Typically designated as a technical lead or working supervisor for a group of exempt employees.
• Plan for major HR Information projects/programs and make decisions regarding the development and implementation of policies, procedures and projects that impact the institution.

• Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details.
• 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.

In addition at the H07.4 level:

• Recognized as an expert within the HR function applying analytical concepts, software, and data analysis tools to independently research, interpret, analyze, compile, and present complex workforce data and information.
• 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; requires mature judgment, discretion and tact.
• Demonstrated ability to delegate effectively. Experience leading integrated projects and business activities.
• Effective communication skills, both written and verbal, to effectively prepare and deliver briefings, documentation, reports and advice to senior Laboratory personnel and management.

Qualifications We Desire

• Master's degree Business, Finance, Mathematics (emphasis in Statistics), Economics, or a related field or quantitative field.
• Experience with survey/engagement analytics and linking sentiment to workforce outcomes.
• Experience operationalizing AI/ML in analytics products (e.g., scikit-learn, TensorFlow, responsible AI practices).
• Familiarity with HR systems and data (Oracle HCM/PeopleSoft) and DOE/NNSA reporting contexts.
• Demonstrated mentorship of analysts and leadership in establishing analytic standards and governance.

#LI-Remote

Position Information

This is a Career Indefinite position, open to Lab employees and external candidates.

Why Lawrence Livermore National Laboratory?

• Included in 2025 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance

This position requires either no security clearance, or a Department of Energy (DOE) L-level or Q-level clearance depending on the particular assignment.  

If you are selected and a security clearance is required, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing.  L and Q-level clearances require U.S. citizenship.  

If no security clearance is required, but your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process.  This process includes completing an online background investigation form and receiving approval of the background check.  (This process does not apply to foreign nationals.)

National Defense Authorization Act (NDAA)

The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities.  The restrictions of NDAA Section 3112 apply to this position.  To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112.

Pre-Employment Drug Test

External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.  This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.  

If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas.  Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

How to identify fake job advertisements

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.  If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. 

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.