Quick Overview
Seniority
Leader
Employment type
Full Time
Work mode
Hybrid
Location
Grand Forks, North Dakota, United States
HRISWorkforce Planning
Job Description
Marvin is seeking a Principal People Analytics & Insights Partner to shape data-driven talent decisions across our manufacturing organization. In this role, you will build and lead advanced people analytics solutions, connecting HR, operations, and business performance. You'll develop dashboards, models, and storytelling that reveal workforce trends and inform leadership strategy. Partnering closely with HR, plant, and corporate leaders, you'll champion data quality, governance, and experimentation while supporting Marvin's people-first culture and long-term employee growth.
Responsibilities
- Lead the design and execution of people analytics strategies to support Marvin's manufacturing workforce and leadership decisions
- Partner with HR and business leaders to identify workforce trends, risks, and opportunities through data-driven insights
- Build dashboards, reports, and self-service analytics tools using HRIS and related data sources
- Develop and maintain people data models, metrics, and KPIs aligned with business and talent priorities
- Translate complex analyses into clear, actionable recommendations for executives and plant leaders
- Drive experimentation and advanced analytics projects (e.g., attrition, engagement, productivity) to improve outcomes
- Ensure data quality, governance, and privacy across HR data systems and reporting processes
- Guide and mentor HR and business stakeholders in data literacy and effective use of people insights
- Collaborate with IT, Finance, and Operations to integrate people data with broader business analytics
- Continuously improve analytics methods, tools, and processes to support a culture of continuous improvement
Required Skills
- People analytics
- HR analytics
- Data visualization (Tableau/Power BI)
- HRIS reporting
- SQL or query languages
- Statistics and data modeling
- Storytelling with data
- HR metrics and workforce planning
- Data governance and data quality
- Predictive analytics
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