Build advanced reporting and analytics solutions to drive workforce decisions across HR.
Design dashboards in MicroStrategy and Oracle HCM, perform structured data validation across Oracle, PeopleSoft, and related systems.
Deliver insights on workforce trends like attrition, internal movement, hiring, and retirement risk.
Collaborate closely with HR stakeholders and IT partners to define requirements, enhance data quality, and create scalable BI products.
Lead end-to-end development of enterprise workforce analytics products and dashboards (attrition, internal mobility, retirement risk) from intake and scoping through delivery to Laboratory leadership.
Own data validation and reconciliation across Oracle and MicroStrategy, perform structured data quality checks, document logic, and partner with IT to resolve discrepancies.
Translate ambiguous business questions into clear technical reporting requirements.
Proactively identify emerging workforce trends, risks, and opportunities with HR and leaders.
Design and evolve user-friendly, scalable BI solutions in tools like MicroStrategy, Power BI, or Tableau.

Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA).
Bachelor’s degree in a quantitative or related field (or equivalent experience).
Building advanced workforce/people analytics or BI solutions with measurable impact.
Advanced SQL for data extraction, transformation, and validation; strong data modeling fundamentals.
Hands-on experience building and maintaining HR reports in Oracle HCM (OTBI and/or BI Publisher) or a comparable enterprise HCM reporting platform.
Proficiency with MicroStrategy (or similar BI) for dashboard design, interactivity, and performance tuning.
Strong understanding of HR data structures (recruiting, job/position, workforce movement, compensation, org hierarchy) and experience validating/reconciling data across multiple systems and supporting UAT/testing.
Proven ability to lead projects independently, translate ambiguous stakeholder needs into clear reporting requirements, and communicate findings clearly, with strong documentation discipline and attention to data quality and governance practices.

Human Resources Data Analyst

Key skills