First Quality

First Quality

Intern - Planning

US SC Anderson · Intern · Internship

Sponsorship not specifiedDetected 30 days ago
LogisticsUnityCommunication

About the role

  • Our personal care and household product portfolio includes baby diapers, wipes, feminine pads, paper towels, bath tissue, adult incontinence products, laundry detergents, fabric finishers, and dishwash solutions.
  • In addition, we manufacture certain raw materials and components used in the manufacturing of these products, including flexible print and packaging solutions.
  • We have one goal: getting you concrete experience.

Requirements

  • Bachelor's degree (or demonstrated progress toward a degree) in related field of study
  • 0-3 years of experience, including academic projects
  • Highly motivated, strong team player, with good ability to multi-task and re-prioritize as necessary

Compensation

  • As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data.

Benefits

  • At First Quality, you'll find a collaborative environment focused on continuous learning, professional development, and our mission to Make Things Better®.

Company info

  • Raw material optimization analysis - Evaluate positioning of raw material storage to ensure the most efficient means of getting the product to the point of use while effectively managing costs. Recommend a repeatable process for future evaluations. Safety stock analysis is included.
  • Slow Moving/Obsolete Inventory Analysis - Evaluate slow moving and obsolete inventory and recommend an effective tracking tool that creates ongoing visibility to best address these items in a timely manner to more effectively use warehouse space.
  • Guided by our values of humility, unity, and integrity, we leverage advanced technology and innovation to drive growth and create new opportunities.

This listing is sourced directly from First Quality's careers page and normalized into a canonical job model.