Business Analyst - AI, Automation & Data Intelligence

About the role

We are seeking an exceptional Business Analyst to leverage Artificial Intelligence (AI), automation, and advanced analytics to transform business processes in a multi-site manufacturing environment. This role supports a growing group of packaging machinery manufacturing companies operating across nine U.S. locations.

Responsibilities

• Identify and implement AI-enabled solutions that automate manual processes, improve workflow efficiency, and enhance business visibility.
• Develop scalable reporting, dashboards, and analytics to support Materials Management, Purchasing, Inventory, Forecasting, Production Planning, and Supplier Performance.
• Analyze operational and enterprise data to uncover opportunities for cost reduction, improved productivity, and smarter decision-making.
• Partner with leaders across Materials Management, Manufacturing, Engineering, Finance, and IT to improve business processes and standardize best practices across multiple facilities.
• Evaluate and deploy modern technologies, automation tools, and AI applications that create measurable operational value.
• Collaborate with division leaders and AI champions driving standardization across the business unit where appropriate.
• Help establish a data-driven operating environment through improved data governance, reporting accuracy, and process discipline.

Requirements

• 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 using platforms such as 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.

Qualifications

• 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.

Skills

• Strong analytical skills and the ability to simplify complex data.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced, dynamic environment.

Benefits

• Comprehensive medical/dental programs.
• Generous paid time off program.
• Retirement savings plan with a company match.

Pay

The pay range for this role is competitive and commensurate with experience.

Schedule

This is a full-time position.