Jci
Demand Planning Analyst
Milwaukee-Wisconsin-United States of America
Sponsorship not specified$68k-$93kDetected 1 day ago
PythonData AnalysisData ScienceStatisticsForecastingSupply ChainLogisticsThermal AnalysisCommunicationDemand Planning
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15Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70
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About the role
- For more than 140 years, Johnson Controls has delivered performance where it really matters.
- Identify opportunities for automation and system enhancements to improve forecast accuracy and efficiency.
- However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile.
Responsibilities
- The Analyst will play a vital role in analyzing and interpreting data to create and maintain the consensus forecast plan at multiple levels of aggregation, using statistical models, and leveraging insights from Product Management, Sales, and Marketing.
- This role is responsible to manage forecast plan of several hundred million dollars across multiple business units.
- Develop accurate and reliable forecast by utilizing statistical forecasting models, demand planning tools and market intelligence.
- Monitor forecast accuracy, forecast bias and provide regular reports and analysis to stakeholders. Identify root causes of forecast errors and implement corrective actions.
- Establish and lead Demand review meetings to develop consensus forecast.
- Collaborate with cross functional teams, including sales, marketing, and product management to gather inputs and develop consensus forecast.
- Partner with Analytics team to develop digital solutions that drive insight into major supply chain metrics such as Customer On-time delivery, Forecast accuracy and bias, fill loss analysis.
- Partner with Product Management to successfully transition parts, both end of life and new product introduction.
- Develop, maintain, and leverage Forecast performance metrics including forecast accuracy, forecast bias.
- Collaborate with cross-functional teams to streamline forecasting and planning processes. Identify opportunities for automation and system enhancements to improve forecast accuracy and efficiency.
Requirements
- Bachelor's degree in Supply chain, Statistics, Data Science, Business Analytics, or Mathematics.
- Advance Degree, MS and/or MBA
- Proficiency in using statistical and visualization tools such as Python, R, Power BI.
Compensation
- $67,900 -93,400 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This position includes a competitive benefits package.
- The posted salary range reflects the target compensation for this role.
Company info
- Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.
- For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.
- Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.
- The consensus forecast plan includes expected sales from JCI parts distribution centers to indirect and direct customers.
Equal opportunity
- To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law.
- If you are an individual with a disability and you require an accommodation during the
This listing is sourced directly from Jci's careers page and normalized into a canonical job model.