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:
The Enterprise 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 finance, manufacturing, and other functional teams in developing and analyzing key performance indicators, resource allocation, and future planning. The Enterprise Data Analyst will be a key member of MP Materials’ corporate financial planning and analysis team.
Position Responsibilities:
- Prioritizing fully automated solutions, collaborate with business stakeholders and cross-functional teams to understand analytical needs, define requirements, and translate business questions into actionable insights
- Analyze and interpret multi-faceted datasets to identify key drivers, risks, inefficiencies, and opportunities for improvement
- Present conclusions and recommendations with clear distinction between fact and opinion
- Support in the development of other enterprise-level analytics and continuous improvement initiatives
- Develop and maintain dashboards, workflows and/or other weekly reports for recurring analysis
- Integrate and analyze large, disparate data sources to uncover new insights and support data-driven decision-making.
- Establish and maintain data quality standards, validation processes, and reporting controls to ensure the accuracy, consis