Data Analyst
- 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.
- 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.
- 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
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