Supply Chain Data Analyst

Trivium Packaging-posted 3 months ago
Mid Level
Youngstown, OH
5,001-10,000 employees
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As a Data Analyst focusing on continuous improvement in a supply chain/manufacturing setting, you will be an essential part of our team, working hands-on to drive operational excellence through statistical analysis, process improvements, and digital transformation initiatives. This hybrid role combines business analysis, data analytics, and change management to support modernization efforts across SIOP, MRP, APS, and credit management systems. You will collaborate with cross-functional teams, immerse yourself in the manufacturing environment, and play a pivotal role in enabling reporting automation, system testing, and stakeholder engagement. The successful candidate will be proactive, detail-oriented, and eager to contribute to strategic projects and AI-driven planning capabilities.

  • Collect, clean, transform, and validate manufacturing and supply chain data from systems such as Sage 300, Siemens Preactor, MES, and Forecast X.
  • Apply statistical and AI/ML techniques (e.g., regression, clustering, anomaly detection, forecasting) to analyze production metrics, inventory cycles, labor variances, and quality data.
  • Develop and maintain dashboards and visual reports for SIOP, inventory, production, and credit utilization using BI tools (e.g., Power BI, Tableau).
  • Participate in and support continuous improvement initiatives by identifying areas for optimization through data-driven analysis.
  • Assist in the configuration and testing of MRP and APS features.
  • Document workflows and business processes related to modernization projects.
  • Develop cases and test scenarios for new system features.
  • Create and deliver training materials and quick reference guides tailored to planners, analysts, and cross-functional teams.
  • Spend time on the manufacturing floor to understand operational challenges and opportunities.
  • Strong foundation in statistical analysis and a demonstrated ability to apply statistical and AI/ML methods (e.g., regression, clustering, forecasting) to real-world supply chain and manufacturing challenges.
  • Proficiency in data tools including Microsoft Excel, SQL, Power BI, and Tableau; experience with Python or R is a plus.
  • Experience with ERP systems (preferably Sage 300), APS tools (e.g., Siemens Preactor), and MES platforms.
  • Skilled in data extraction, transformation, and visualization to support decision-making and continuous improvement.
  • Excellent ability to present complex analyses clearly and persuasively to senior leadership and cross-functional teams.
  • Strong documentation and business process mapping skills; experience supporting UAT and system testing cycles.
  • Highly organized, detail-oriented, and capable of managing projects independently with a high degree of accuracy and precision.
  • Strong verbal and written communication skills with a collaborative, hands-on, and proactive approach.
  • Growth mindset with a willingness to learn by doing and contribute in a dynamic manufacturing environment.
  • Bachelor’s degree in supply chain, Data Science, Industrial Engineering, or a related field.
  • Minimum 3 years of experience in supply chain analytics, business analysis, or manufacturing operations.
  • Exposure to change management frameworks (e.g., ADKAR, Prosci) is a plus.
  • High exposure to senior leadership; this is flat hierarchy, and your ideas will be heard.
  • Opportunity to work on growth projects that will help define the future of Trivium Packaging.
  • Commitment to your professional development.
  • Competitive compensation and benefits.
  • High-performance culture with impressive and experienced colleagues.
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