Site Planning Analyst: AI-Driven Inventory & Analytics

Johnson & Johnson Co.

Schaffhausen

Vor Ort

CHF 90.000 - 120.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Johnson & Johnson in Schaffhausen, Switzerland, is seeking an Analyst Site Planning to support the site planning organization through digital enablement, automated reporting, and advanced analytics. You will work with MPS and DS teams to ensure reliable material availability and optimize planning processes, balancing service levels, inventory, and costs.

The role requires a bachelor’s degree in a related field, strong data analytics capabilities, and fluency in English with German knowledge

Qualifikationen

  • Bachelor’s degree in Supply Chain, Engineering, Data Analytics, or a related field.
  • First relevant professional experience is advantageous.
  • Strong analytical mindset and data analysis skills.

Aufgaben

  • Developing, maintaining, and enhancing automated reporting solutions to support site planning and MRP processes.
  • Identifying opportunities to leverage digital tools and AI to streamline planning processes in collaboration with IT and stakeholders.
  • Generating and managing site planning reports with actionable insights on material availability and risks.
  • Leading analyses of drivers affecting material planning performance, identifying trends and root causes.
  • Executing site material inventory projections aligned with Master Production Schedule and recommending optimizations.
  • Providing analytical support to manage material constraints, supplier performance, and planning exceptions.

Jobbeschreibung

Johnson & Johnson in Schaffhausen, Switzerland, is seeking an Analyst Site Planning to support the site planning organization through digital enablement, automated reporting, and advanced analytics. You will work with MPS and DS teams to ensure reliable material availability and optimize planning processes, balancing service levels, inventory, and costs.

The role requires a bachelor’s degree in a related field, strong data analytics capabilities, and fluency in English with German knowledge

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