Supply Planner - Hybrid Sydney | Optimize Inventory & Demand

Supply Planner - Hybrid Sydney | Optimize Inventory & Demand

Sydney Full-Time 50715 - 61985 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Manage inventory and demand to keep customers happy while saving costs.
  • Company: Join McPherson's Consumer Products, a leader in the industry.
  • Benefits: Enjoy a hybrid work model, competitive salary, and career growth.
  • Other info: Collaborative team environment with opportunities for professional development.
  • Why this job: Make a real difference in supply planning and customer satisfaction.
  • Qualifications: Bachelor's degree and 3+ years in supply planning required.

The predicted salary is between 50715 - 61985 $ per year.

Mc Pherson's Consumer Products is seeking a Supply Planner for Sydney CBD in a hybrid role.

You will develop and maintain inventories to meet customer demand while minimizing costs, collaborate with sales, operations and procurement, and analyse forecasts to adjust plans.

Ideal candidates hold a Bachelor's in a related field with 3+ years of supply planning experience, strong analytical and communication skills, and familiarity with SAP or Oracle.

Supply Planner - Hybrid Sydney | Optimize Inventory & Demand employer: McPherson's Consumer Products

McPherson's Consumer Products offers a dynamic and inclusive work environment that fosters professional growth and collaboration. Employees benefit from opportunities to work with iconic health and beauty brands, contributing to meaningful projects that impact everyday lives. The company is committed to nurturing a culture of innovation and sustainability, making it an attractive employer for those seeking to make a difference in the consumer products industry.

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Contact Details:

McPherson's Consumer Products Recruitment Team

We think you need these skills to ace Supply Planner - Hybrid Sydney | Optimize Inventory & Demand

Supply Planning
Inventory Management
Demand Forecasting
Analytical Skills
Communication Skills
Collaboration
Cost Minimisation