Company Overview:
MP Materials (NYSE: MP) is rebuilding American industrial capability for a new era of autonomy, robotics, and electrification.
We are the only U.S. company with a fully integrated rare earth supply chain—from mining and refining to advanced metal and magnet manufacturing. Our products include both the critical materials used to make permanent magnets and the finished magnets themselves—enabling next-generation technologies in robotics, automation, aerospace, transportation, defense, and energy systems. These materials are the foundation of physical AI—the convergence of computation, movement, and control.
We hire ambitious, mission-driven people who want to tackle complex challenges and shape the future of strategic industries. Our culture is rooted in teamwork, resiliency, and integrity, with a deep commitment to operational excellence and national purpose. MP is rapidly evolving from a materials producer into a leading U.S. manufacturer—and our people are driving that transformation.
Position Overview:
MP embraces an owner operator culture, and the Data Analyst will be empowered to develop and maintain the Company’s reporting and analytics portfolio in collaboration with the broader analytics team. This position will possess a unique view of the business and support manufacturing, engineering, finance, and other functional teams in developing and analyzing operational performance, resource allocation, and future planning. The Data Analyst will be a key member of MP Magnetics analytics team.
Position Responsibilities:
- Collect, clean, and integrate data from multiple disparate sources, including ERP systems, production systems, and financial platforms, for use in manufacturing analysis and reporting.
- Develop advanced reports, dashboards, and visualizations to monitor manufacturing performance, operational efficiency, and financial KPIs.
- Perform in-depth statistical and trend analysis on production, inventory, and cost data to identify opportunities for process optimization and cost reduction.
- Interpret complex datasets and present actionable insights with clear distinction between data-driven facts and business recommendations.
- Support enterprise-wide analytics initiatives, including predictive modeling and process optimization projects.
- Work with engineering teams to gather and analyze process data in the context of underlying physical parameters, helping drive fundamental understanding of process performance on a first principles basis.
Other Functions:
- Collaborate with business stakeholders to understand analytical needs.
- Develop and maintain dashboards, weekly manager