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Agilent Technologies

HR Data and Systems Lead

Agilent Technologies

HR Data & Systems Lead responsible for analytics, reporting, and data governance initiatives in HR at Agilent. Partnering with teams to enhance decision-making and operational excellence through technology.

Posted 7/2/2026full-timeRemote • Texas • 🇺🇸 United StatesSenior💰 $114,080 - $213,900 per yearWebsite

About the role

Key responsibilities & impact
  • Support defining the HR Analytic roadmap and toolsets required including system and implementation strategy.
  • Build automated and scalable reporting & analytic frameworks to improve accessibility to data and supporting decision making.
  • Ensure data quality, governance, and integrity across all HR data sources.
  • Support advanced analytic initiatives such as predictive modeling, workforce planning and talent insights.
  • Support Business Process optimization efforts to align with clear HR data governance.
  • Partner with HR Business Partners, COEs and leadership teams to identify analytics needs and proposed solutions.
  • Support Operational Reporting requests as necessary.

Requirements

What you’ll need
  • Bachelor’s or master’s degree in human resources, IT, or a related field.
  • 8+ years of relevant experience, including experience in geographically distributed teams.
  • Experience in HR analytics, People Analytics, HR reporting or a related analytic role.
  • Strong expertise with Workday reporting and HR data architecture.
  • Proven ability to work with complex datasets.
  • Experience building dashboards, analytic frameworks and automated reports.
  • Excellent project management and communication skills to support process optimization and system implementations.
  • Proficiency with analytics and visualization tools (e.g. Power BI).

Benefits

Comp & perks
  • Bonus eligibility
  • Stock options

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
HR ReportingPredictive ModelingWorkforce PlanningAnalytic FrameworksAutomated ReportingComplex Datasets
Soft Skills
Communication SkillsCollaboration