Insight Global - Seattle, WA

posted about 1 month ago

Full-time
Seattle, WA
Administrative and Support Services

About the position

The Technical Demand Planner is responsible for generating demand plans for technical parts required for vessel operations, ensuring safe cruising, and supporting cost-saving initiatives. This hybrid role involves collaboration with shoreside and shipboard teams to align demand plans and optimize inventory levels. The planner will analyze historical consumption and maintenance plans to predict demand, maintain planning tools and reports, and support initiatives to enhance technical demand planning processes.

Responsibilities

  • Generate demand plans for technical parts required for vessel operations.
  • Collaborate with shoreside and shipboard teams to align demand plans and optimize inventory levels.
  • Analyze historical consumption and maintenance plans to predict demand for technical parts.
  • Maintain demand planning tools, models, and reports using relevant software applications.
  • Monitor and measure the accuracy and effectiveness of the demand plan and implement corrective actions for improvement.
  • Support initiatives and system implementation to mature technical demand planning.

Requirements

  • 3+ years of experience in demand planning, forecasting, or supply chain management.
  • Expert level knowledge of Microsoft Office, especially Excel, PowerPoint, and Power BI.
  • Working knowledge of forecasting systems such as SAP IBP, JDA, or Oracle Demantra.
  • Understanding of Data Warehouse and data virtualization.
  • Detailed understanding of the relationship between inventory management, inventory control, demand planning, and supply planning.
  • Ability to work with a diverse set of people from multiple countries.

Nice-to-haves

  • Spare parts planning experience.
  • Preferred working knowledge of shipboard engineering or warehouse technical spares/inventory operations.
  • Preferred background in the maritime industry with associated systems and processes.
  • Experience in ML/AI supported forecasting systems.
  • Working knowledge of AMOS or similar WMS/ERP systems.
  • Inventory/forecasting system implementation experience.
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