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Principal Analytics HR Data Analyst - Manufacturing

Job in Warroad, Roseau County, Minnesota, 56763, USA
Listing for: Marvin
Full Time position Listed on 2026-11-14
Job specializations:
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR

Job Description & How to Apply Below

Position: Principal People Analytics HR Data Analyst - Manufacturing
Location: Warroad

Marvin is seeking a Principal People Analytics & Insights Partner to drive data-informed talent decisions in our manufacturing organization. In this role, you will lead strategy, analytics, and storytelling across HR, partnering with leaders to optimize workforce planning, engagement, and performance. You will build dashboards, conduct advanced analyses, and translate complex data into clear, actionable recommendations. This highly visible role suits a hands‑on analytics expert who thrives in a people‑first, continuous-improvement culture and wants to shape long-term talent strategy in a stable, family‑owned company.

Responsibilities
  • Lead people analytics strategy to support workforce planning, talent development, and organizational effectiveness at Marvin
  • Partner with HR and business leaders in manufacturing to translate data into actionable insights and recommendations
  • Design and maintain dashboards, reports, and scorecards on engagement, retention, hiring, and performance
  • Conduct advanced analysis, including segmentation, predictive modeling, and experimentation to inform decisions
  • Ensure data quality, governance, and ethical use of employee data across systems and tools
  • Collaborate with IT and HRIS teams to optimize data architecture, integrations, and reporting capabilities
  • Present findings to senior leadership with clear narratives and data visualizations
  • Support change management, communication, and training to increase data literacy across HR and operations
Required Skills
  • People analytics
  • HR analytics
  • Workforce planning
  • HRIS/reporting tools (e.g., Workday, SAP, Oracle)
  • SQL or similar query languages
  • Data visualization (Tableau, Power BI, or similar)
  • Statistics and predictive modeling
  • Data storytelling and executive presentations
  • Data governance and data quality management
  • Change management in HR/people processes
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