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ProMach

Business Analyst – AI, Automation & Data Intelligence

ProMach

Business Analyst transforming ProMach’s packaging machinery manufacturing operations through AI, automation, dashboards, and advanced analytics. Improving supply chain, materials management, and multi-site operational performance.

Posted 8/14/2026full-timeCharlotte • North Carolina, Ohio, South Carolina, Wisconsin • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI-enabled solutions, automation tools, and analytics to enhance operational efficiency and decision-making in manufacturing and supply chain environments. Proven ability to develop dashboards, reporting tools, and implement data governance practices across multi-site operations.

Highest-signal resume keywords
AI-Enabled Solutions ImplementationBusiness Analytics ExperiencePower BI ProficiencyManufacturing Analytics ExpertiseCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Business AnalyticsSupply Chain OperationsManufacturing AnalyticsDashboard DevelopmentKPI CreationPredictive AnalyticsData GovernanceProcess ImprovementAutomation ToolsInventory Management
Soft Skills
Analytical MindsetInfluencing Business DecisionsSimplifying ComplexityDriving InitiativesCollaboration
Tools & Technologies
Power BISQLExcelPower AutomatePython
Industry Keywords
Materials ManagementERP SystemsMulti-Site ManufacturingPackaging MachineryIndustrial Equipment

Tech Stack

Tools & technologies
ERPPythonSQL

About the role

Key responsibilities & impact
  • Identify and implement AI-enabled solutions to automate manual processes, improve workflow efficiency, and enhance business visibility
  • Develop scalable reporting, dashboards, and analytics for Materials Management, Purchasing, Inventory, Forecasting, Production Planning, and Supplier Performance
  • Analyze operational and enterprise data to identify cost reduction, productivity, and decision-making opportunities
  • Partner with Materials Management, Manufacturing, Engineering, Finance, and IT leaders to improve processes and standardize best practices across facilities
  • Evaluate and deploy modern technologies, automation tools, and AI applications that create measurable operational value
  • Collaborate with division leaders and AI champions to drive standardization across the business unit
  • Help establish a data-driven operating environment through improved data governance, reporting accuracy, and process discipline
  • Support AI and data intelligence initiatives across a multi-site packaging machinery manufacturing organization

Requirements

What you’ll need
  • 5+ years of experience in Business Analytics, Supply Chain, Operations, Manufacturing Analytics, or related roles
  • Demonstrated experience using AI, automation, and analytics tools to improve business processes and decision-making
  • Strong understanding of manufacturing, materials management, supply chain operations, inventory management, and ERP/MRP systems
  • Experience developing dashboards, KPIs, and actionable reporting tools
  • Experience with Power BI, SQL, Excel, Power Automate, Python, or similar technologies
  • Strong analytical mindset with the ability to simplify complexity and influence business decisions
  • Proven ability to work cross-functionally and drive initiatives in a fast-paced operational environment
  • Experience in packaging machinery, industrial equipment, engineered products, or discrete manufacturing
  • Experience implementing AI-powered workflow automation or predictive analytics
  • Multi-site manufacturing experience and a track record of operational improvement
  • Must be eligible to work in the United States; ProMach uses E-Verify for new hires

Benefits

Comp & perks
  • Salary
  • Comprehensive medical/dental programs
  • Life insurance
  • Generous paid time off program
  • Retirement savings plan with a company match
  • No waiting period for benefits; eligible on the first day of employment
  • Growth opportunities
  • Open, communicative environment fostering individual initiative
  • Reasonable accommodation for individuals with disabilities