Hybrid Demand Planner II - Forecast & Inventory Optimizer

Honeywell INC.

Atlanta (GA)

Hybrid

USD 70,000 - 95,000

Full time

3 days ago
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Job summary

Honeywell is seeking a Demand Planner II in Atlanta, GA, operating on a hybrid schedule with initial 90 days onsite. You will develop and execute demand planning strategies, analyzing data, market trends, and customer insights to align with supply chain operations.

You will collaborate with sales, marketing, and supply chain teams, monitor patterns, and adjust forecasts to optimize inventory and customer service.

Qualifications

  • 2+ years of experience in demand planning or related supply chain functions.
  • Experience in demand planning or supply chain management with strong analytical skills.
  • Proficiency in demand planning software and forecasting techniques to ensure reliable demand forecasts.
  • Strong knowledge of data analysis tools and ability to interpret market trends to adjust demand plans effectively.
  • Familiarity with supply chain processes and inventory optimization strategies.
  • Ability to travel 5%-15%, domestic and international

Responsibilities

  • Develop and maintain accurate demand forecasts using data analysis and market insights.
  • Collaborate with sales, marketing, and supply chain teams to gather inputs and align demand plans.
  • Monitor demand patterns and adjust forecasts to optimize inventory levels and meet customer needs

Skills

Analytical skills
Forecasting techniques
Cross-functional collaboration
Data analysis tools
Travel availability

Education

Bachelor's degree in Business, Supply Chain, or related field

Tools

SAP
Forecast Pro
RapidResponse
Excel
PowerBI

Job description

Honeywell is seeking a Demand Planner II in Atlanta, GA, operating on a hybrid schedule with initial 90 days onsite. You will develop and execute demand planning strategies, analyzing data, market trends, and customer insights to align with supply chain operations.

You will collaborate with sales, marketing, and supply chain teams, monitor patterns, and adjust forecasts to optimize inventory and customer service.

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