Enterprise Data Analyst

MP Materials•Las Vegas, NV

About The Position

The Enterprise Data Analyst develops and maintains MP Materials’ reporting and analytics portfolio in collaboration with the broader analytics team. As a member of the corporate financial planning and analysis team, the analyst supports finance, manufacturing, and other functional teams by developing and analyzing key performance indicators, resource allocation, and future planning. The role works with business stakeholders and cross-functional teams to turn analytical needs into actionable insights, interpret complex datasets, and present conclusions and recommendations. It also involves building recurring dashboards and reports, integrating disparate data sources, maintaining data quality and reporting controls, and supporting the analytical architecture and collection of manufacturing data.

Requirements

  • Bachelor’s degree in Data Analytics, Industrial Engineering, Finance, Computer Science, or a related field.
  • At least 3 years of experience in a manufacturing environment or in manufacturing data analytics.
  • Strong understanding of manufacturing processes, operational KPIs, and cost structures.
  • Proficiency in data analysis tools and techniques.
  • Required proficiency in advanced SQL, including CTEs, window functions, and complex relationship handling; DAX; or KNIME or another recognized analytical workflow automation tool.
  • Ability to work with large, complex datasets from multiple sources and deliver clear, actionable insights.

Nice To Haves

  • Experience in a publicly traded company.
  • Experience with SAP.
  • Experience with OneStream or Palantir.
  • Highly analytical, intellectually curious, and a fast learner.
  • Ability to identify objectives, collect and process data, analyze and interpret results, and present conclusions and recommendations.
  • Self-directed, highly collaborative, and able to handle a variety of responsibilities.
  • Ability to work with and for all levels of the organization, including senior management.
  • Ability to work with internal customers and external agencies for compliance and controls.
  • Strong verbal and written presentation skills.
  • Familiarity with, or keen interest in learning about, mining, manufacturing, and industrial processes.

Responsibilities

  • Collaborate with business stakeholders and cross-functional teams to understand analytical needs, define requirements, and translate business questions into actionable insights, prioritizing fully automated solutions.
  • Analyze and interpret multifaceted datasets to identify key drivers, risks, inefficiencies, and opportunities for improvement.
  • Present conclusions and recommendations while clearly distinguishing fact from opinion.
  • Support the development of enterprise-level analytics and continuous improvement initiatives.
  • Develop and maintain dashboards, workflows, and other weekly reports for recurring analysis.
  • Integrate and analyze large, disparate data sources to uncover insights and support data-driven decision-making.
  • Establish and maintain data quality standards, validation processes, and reporting controls to ensure accurate, consistent, and reliable manufacturing and financial reporting.
  • Manage aspects of the analytical architecture and collection of manufacturing data.
  • Acquire and work with disparate data sources.
  • Perform other duties as assigned.
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