Leidos is seeking an HR Data & Analytics Advisor with solid experience in Workday configuration (including HCM, Learning, and Talent Performance) to help shape and execute our HR analytics and AI strategy, delivering insights that drive workforce decisions across the enterprise.
Our goal is to find the right fit and we are open to discussing compensation above our posted salary range for the right candidate.
Primary Responsibilities:
Deliver actionable HR metrics, trends, and insights across the employee lifecycle.
Serve as an analytics advisor by conducting quantitative and qualitative analyses, such as: ad hoc reporting, statistical modeling, and answering key business questions.
Monitor KPIs, identify trends, and perform root cause analysis to inform decision-making.
Develop executive-ready presentations with clear data storytelling and concise insights.
Apply an AI-forward mindset to enhance analytics, automation, and insight delivery.
Design, build, and maintain HR analytics products (datasets, ETL processes, dashboards) in partnership with IT.
Manage analytics product lifecycle, including requirements, testing, enhancements, and release planning.
Drive continuous improvement and innovation in HR analytics tools and self-service capabilities.
Basic Qualifications:
Bachelor’s degree in a quantitative analysis or related field with 4+ years of relevant analytics experience.
Must have hands-on Workday configuration experience, including HCM, Talent Performance, and Learning modules.
Solid experience working with HR data and performing data querying, ETL/data wrangling, and developing reports and dashboards.
Experience with BI tools (e.g., Power BI, Tableau, Alteryx).
Strong analytical, problem-solving, and data integrity skills with the ability to translate insights for stakeholders.
Excellent communication, presentation, and project management skills.
Ability to work in a fast-paced, matrixed environment while maintaining confidentiality.
Advanced proficiency in Microsoft Excel and PowerPoint.
US citizenship is required and able to obtain security clearance as needed.
Preferred Qualifications:
Master’s degree in a quantitative analysis or related field.
Experience with SQL, R, or Python.
Experience building statistical or predictive models using people data.
Experience with Workday reporting, dashboards, and data architecture.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting:April 6, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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