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MSA Safety Logo

Supply Chain Data Analyst

MSA Safety

Salary not specified
Dec 18, 2025
Murrysville, PA, US
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MSA Safety is looking to solve its customers' greatest problems in the supply chain to help protect people and assets around the world, specifically in the areas of in/outbound fill rate, inventory, supply/replenishment planning, cost reduction, distribution, and network optimization.

Requirements

  • Experience with Power BI
  • Experience with Excel
  • Experience with SAP
  • Experience with Bower BI
  • Advanced Experience with MS Office Products (Excel, PowerPoint, Access and Word)
  • Experience with Project management
  • Professional Certifications, CLTD, CPIM, or CSCP

Responsibilities

  • Regularly analyze data, workflow and processes, using numerical and statistical analyses, to make quantifiable cost benefit analysis and recommendations for improvement in subject areas not limited to in/outbound fill rate, inventory, supply/replenishment planning, cost reduction, distribution and network optimization.
  • Create measurement systems, reports and forecasts to support cost, quality and delivery.
  • Own key performance indicators and consistently publish results in a frequency defined by the business.
  • Conduct advanced data analysis using Power BI, Excel, etc.
  • Compile and reconcile data from multiple sources into formats to be leveraged by Business Partners and Senior Leaders
  • Provide daily, weekly and monthly reporting and analysis to Business Partners and Senior Leaders
  • Conceptualize and build centralized tools (including dashboards) that the Global Operations team can use to extract data/insights for daily business management in an automated manner

Other

  • Bachelor’s Degree in Computer Science, Engineering, Mathematics Statistics, Logistics, Supply Chain Management, Business or other related discipline
  • 0-2 years of relevant experience in supply chain data or operational analytics
  • 2-4 years of Supply Chain Data Analytics Experience
  • 4+ years of Supply Chain Data Analytics Experience
  • Ability to lead a cross functional team without direct authority of team members