Forecast Analyst, After-market Parts

JOHNSON CONTROLS

Base: $85,000-$117,000; bonus/equity: not specifie...
Not specified (assumed hybrid based on industry trends).
Statistical forecasting models
Historical sales data analysis
Cross-functional collaboration
Johnson Controls is seeking a Forecast Analyst for its After-market Parts division. The role involves analyzing and interpreting data to create and maintain consensus forecasts, collaborating with cross-functional teams, and leveraging statistical models and market insights

Job Summary

  • The Forecast Analyst will play a vital role in analyzing and interpreting data to create and maintain the consensus forecast plan at multiple levels of aggregation.
  • This role is responsible to manage forecast plan of several hundred million dollars across multiple business units while collaborating with Sales, Marketing, and Product Management.
  • Johnson Controls offers a comprehensive benefits package including 15 days of vacation in the first year, 401K, medical, dental, and vision care available from day one.

Matching Summary

Match Score: 85

Johnson Controls is seeking a Forecast Analyst for its After-market Parts division. The role involves analyzing and interpreting data to create and maintain consensus forecasts, collaborating with cross-functional teams, and leveraging statistical models and market insights.

Salary

Base: $85,000-$117,000; Bonus/Equity: Not specified; Benefits: Comprehensive package including 401K, medical, dental, vision, 15 days vacation

Skills & Requirements

Must-have

  • Statistical forecasting models
  • Historical sales data analysis
  • Cross-functional collaboration
  • Demand planning tools
  • Forecast accuracy monitoring

Nice-to-have

  • Automation opportunities identification
  • Innovative team environment
  • Diverse perspectives valued
  • Safety culture commitment
  • Digital solution development

Key Requirements

  • Bachelor's degree in Supply chain, Statistics, Data Science, Business Analytics, or Mathematics
  • 5 years of proven experience in data analytics within Supply chain and logistics
  • Willingness to travel 20-30% domestically and internationally
  • Proficiency in Python, R, Power BI, and supply planning software
  • APICS CPIM certification preferred

Work Rights

Not specified

Tailored Resume

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