HR Data and Systems Lead

Job not on LinkedIn

🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $114.1k - $213.9k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Agilent Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

🔬 Science

🧬 Biotechnology

💊 Pharmaceuticals

💰 $500M Post-IPO Debt on 2019-09

Science • Biotechnology • Pharmaceuticals

Agilent Technologies is a global leader in the field of analytical and laboratory instruments. The company offers a diverse range of products and solutions, including gas and liquid chromatography, mass spectrometry, lab supplies, and software and informatics. Agilent serves various industries, such as biopharma, food and beverage testing, clinical diagnostics, and environmental testing. Additionally, Agilent provides comprehensive services for lab management, maintenance, and instrument repair. They focus heavily on advancing science through sustainable solutions and supporting genomics, pathology, and cancer research with advanced technologies.

📋 Description

• 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

• 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

• Bonus eligibility • Stock options