HR Data Analyst

Company Description

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.

Job Description

We’re looking for an HR Data Analyst to build advanced reporting and analytics solutions that drive workforce decisions across HR. This person will design dashboards in MicroStrategy and Oracle HCM, perform structured data validation across Oracle, PeopleSoft, and related systems, and deliver insights on workforce trends such as attrition, internal movement, hiring, and retirement risk. The role works closely with HR stakeholders and IT partners to define requirements, enhance data quality, and create scalable BI products that support executives and HR teams. 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 position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level. 

You will

• Lead end-to-end development of enterprise workforce analytics products and dashboards (e.g., attrition, internal mobility, retirement risk) from intake and scoping through delivery to Laboratory leadership.
• Experience building and maintaining HR operational and analytical reports in Oracle HCM (OTBI, BI Publisher) and related LAPIS datasets using SQL and subject areas to support TA, Compensation, HRBPs, ER, and other HR functions.
• Own data validation and reconciliation across Oracle, LAPIS, and MicroStrategy, performing structured data quality checks, documenting logic, and partnering with IT to resolve discrepancies.
• Translate ambiguous business questions into clear technical reporting requirements, ensuring alignment with HR stakeholders and system capabilities.
• Proactively identify emerging workforce trends, risks, and opportunities, collaborating with HR and leaders to frame analytic questions that directly support business and workforce decisions.
• Design and evolve user-friendly, scalable BI solutions in tools such as MicroStrategy, Power BI, or Tableau, enabling self-service access to trusted metrics and insights.
• Support system testing and user acceptance testing (UAT) during Oracle HCM implementations and releases, validating report outputs and documenting issues.
• Mentor analysts on SQL, analytics, visualization, and data storytelling while promoting consistent analytic methods, documentation, and reproducible practices.
• Collaborate with HR, Legal, Lab leadership, and IT to align on metric definitions, access and security standards, and governance practices that maintain the integrity and trustworthiness of HR data products.
• Manage reporting intake (e.g., ServiceNow), automate recurring reporting where feasible, and maintain structured documentation of report logic and definitions.
• Perform other duties as assigned.

Additional job responsibilities, at the H07.4 level

• Lead complex, high-visibility analytics projects that span multiple HR domains with minimal oversight.
• Drive data validation, governance standards, and resolution of cross-system data issues in partnership with IT.
• Develop scalable analytic frameworks, metric definitions, and BI design standards adopted across HR.
• Mentor and guide analysts on SQL, modeling, visualization, and data storytelling.
• Provide strategic analytic insights to HR and Lab leadership, proactively identifying risks and opportunities.

Qualifications

• Must be eligible to access the Laborat