Data Analyst

MP Materials Corp.•Fort Worth, TX

About The Position

The Data Analyst will collect and integrate data from multiple enterprise systems, analyze key performance indicators, and deliver actionable insights that support process optimization, improved decision‑making, and long‑term operational excellence.

Requirements

Bachelor’s degree in Data Analytics, Industrial Engineering, Finance, Computer Science, or related field.
3+ years of experience in a manufacturing environment or with manufacturing data analytics; public company experience is a plus.
Strong understanding of manufacturing processes, operational KPIs, and cost structures.
Proficiency in data analysis tools and techniques, including advanced SQL, Power BI, Python, KNIME or similar tools preferred.
Ability to work with large, complex datasets from multiple sources and deliver clear, actionable insights.

Nice To Haves

Must be highly analytical, intellectually curious and a fast learner.
Ability to identify objectives, collect and process data, analyze and interpret results, and present conclusion and recommendations.
Must be self-directed, highly collaborative, and able to handle a variety of responsibilities.
Ability to work with all levels within 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

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[1]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.
Collaborate with business stakeholders to understand analytical needs.
Develop and maintain dashboards, weekly manager reports and recurring analysis.
Develop statistical analysis using large disparate data sources to form new insights and support data-driven decision processes.
Provide weekly and monthly reports and analysis for senior leaders.
Manage aspects of the analytical architecture and collection of manufacturing data.
Other duties as assigned.