Eaton’s ES AMER ARS division is currently seeking a Demand Forecast Analyst. This is a remote position that requires 10% travel annually. 

 

The expected annual salary range for this role is $65250.0 - $95700.0 a year.  

Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations. 

What you’ll do:

The Demand Forecast Analyst supports the marketing-based demand management process for the North America Wiring Device Product line.  You will utilize statistical forecasting models as well as sales and marketing inputs to reconcile any discrepancies between forecasting and sales. You will also review demand generation from various warehouse locations in order to make appropriate allocations. 

 

Additionally:

Recognize, follow, and analyze trends in the market. Develop monthly sales forecast and allocation to shipping plant through demand forecasting. Work with sales and marketing teams to gather assumptions and data pertaining to forecast changes, trends and events. Develop KPI’s to measure accuracy of forecast at the shipping plant level. Assist Demand Manager in preparing and presenting reports detailing these market factors to leadership to help inform marketing and production strategy decisions. Investigate and reconcile disconnect between actual sales and forecast. Administer, audit and trouble shoot forecasting software to ensure data integrity. Perform ad hoc analysis as needed, respond to forecast queries from various departments. Qualifications:

Basic (required) Qualifications: 

Bachelor’s degree in marketing, supply chain, finance, or business from an accredited universityOne year of experience in demand forecasting or inventory management within a manufacturing organization/environment Must be legally authorized to work in the United States without company sponsorship now or in the future. 

 

Preferred qualifications: 

APICS Certification Inventory management experience Advanced experience with Excel, Power BI, SAP and forecast software such as Demantra Strong analytical and mathematical skills, and the ability to apply qualitative data quantitively

 

 

 

 

The application window for this position is anticipated to close on December 30th 2024.

 

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

 

Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws.

 

You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.

 

To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.

 

We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.