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Full time
Human Resources
MA

Principal People Analytics & Insights Partner

MarvinCleveland, Ohio🇺🇸United StatesPosted Sep 17, 2026

Quick Overview

Seniority
Leader
Employment type
Full Time
Work mode
Hybrid
Location
Cleveland, Ohio, United States
HRISWorkdayWorkforce Planning

Job Description

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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