HR Data and Analytics Advisor

Description

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.

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.

For 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 onlyand 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.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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