Warehouse Analytics Co-Op: Data-Driven Ops & Growth

Johnson & Johnson Innovative Medicine; Raritan (NJ); On-site; USD 33,000 - 72,000; Full time

Job summary

Johnson & Johnson is seeking a Warehouse Operations & Analytics Co-Op within the CAR-T manufacturing network. You will support critical supply chain and warehouse operations, gaining hands-on experience in capacity planning, inventory management, analytics, and process optimization in a highly regulated cell and gene therapy environment.

You'll work with cross-functional teams to apply data analytics, Lean practices, and project management to identify opportunities, help ensure flow of

Qualifications

• Pursuing a Bachelor's degree in a relevant field with junior standing.
• Comfort with data analysis using BI tools and spreadsheets.
• Interest in Lean, Six Sigma, or process improvement is a plus.

Responsibilities

• Analyze warehouse data to identify trends and capacity constraints.
• Develop dashboards and KPIs to support leadership decisions.
• Support capacity modeling and inventory management initiatives.
• Conduct process mapping and material flow analyses to optimize operations.
• Collaborate with cross-functional teams on strategic projects and improvements.
• Assist with inventory management activities for critical supplies.
• Lead project meetings and coordinate stakeholder communications.

Skills

Analytical thinking

Communication

Statistics knowledge

Problem solving

Education

Bachelor's degree (pursuing) in Supply Chain Management, Industrial Engineering, Operations Management, Business Analytics, Data Analytics, Logistics, or related field

Tools

Power BI

Tableau

Excel

Power Automate

Job description

Johnson & Johnson is seeking a Warehouse Operations & Analytics Co-Op within the CAR-T manufacturing network. You will support critical supply chain and warehouse operations, gaining hands-on experience in capacity planning, inventory management, analytics, and process optimization in a highly regulated cell and gene therapy environment.

You'll work with cross-functional teams to apply data analytics, Lean practices, and project management to identify opportunities, help ensure flow of