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Leidos

HR Data and Analytics Advisor

Leidos

. Deliver actionable HR metrics, trends, and insights across the employee lifecycle .

Posted 4/7/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $73,450 - $132,775 per yearWebsite

Tech Stack

Tools & technologies
ETLPythonSQLTableau

About the role

Key responsibilities & impact
  • Deliver actionable HR metrics, trends, and insights across the employee lifecycle
  • Serve as an analytics advisor by conducting quantitative and qualitative analyses
  • 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 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

Requirements

What you’ll need
  • Bachelor’s degree in a quantitative analysis or related field
  • 4+ years of relevant analytics experience
  • 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
  • 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 required and able to obtain security clearance as needed
  • Master’s degree in a quantitative analysis or related field (preferred)
  • Experience with SQL, R, or Python (preferred)
  • Experience building statistical or predictive models using people data (preferred)
  • Experience with Workday reporting, dashboards, and data architecture (preferred)

Benefits

Comp & perks
  • competitive compensation
  • Health and Wellness programs
  • Income Protection
  • Paid Leave
  • Retirement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
quantitative analysisdata queryingETLdata wranglingreport developmentdashboard developmentSQLRPythonstatistical modeling
Soft Skills
analytical skillsproblem-solvingdata integritycommunicationpresentationproject managementinnovationcontinuous improvementconfidentialityadaptability