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, consistency, and reliability of manufacturing and financial reporting
- Manage aspects of the analytical architecture and collection of manufacturing data
- Proficient in acquiring and working with disparate data sources
- Perform other duties as assigned
Basic Qualifications:- Bachelor's degree in Data Analytics, Industrial Engineering, Finance, Computer Science, or related field
- 3+ years of experience in a manufacturing environment or in manufacturing data analytics; experience in a publicly traded company is a plus
- Strong understanding of manufacturing processes, operational KPIs, and cost structures; experience with SAP is a plus
- Proficiency in data analysis tools and techniques. Advanced SQL (CTEs, window functions, complex relationship handling), proficiency in DAX, or proficiency in KNIME/another recognized analytical workflow automation tool is required
- Experience with OneStream or Palantir is a plus
- Ability to work with large, complex datasets from multiple sources and deliver clear, actionable insights
Desired Qualities:- 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 and for all levels in 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
