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Associate, Demand Planner

Country : USA USA

State : New York

Town : New York

Category : Logistics

Contract type : Permanent

Availability : Full time

Company presentation

Macy's is proudly America's Department Store. For more than 160 years, Macy's has served generations at every stage of their lives. Customers come to us for fashion, value and celebration.
Macy's gives our customers the ability to choose their shopping experience - in our stores, on our site, and through our app. Macy's global Supply Chain manages the end-to-end process of getting products to our customers, no matter how they choose to shop. We deliver high-quality products to our customers wherever needed, whether in-store, curbside, or right at their doorstep. Every colleague in Supply Chain plays a vital role in creating a positive customer experience. This is an opportunity to build a dynamic career across various disciplines in a field marked by rapid change, challenge, and continuous innovation.

Job description

As an Associate Demand Planner, this role will manage demand forecasts of replenishment product for an assigned family of business. They will monitor forecast accuracy and perform analysis on large volumes of data, gaining insights on recent selling trends and historical seasonality patterns. There will be a focus on continuous improvement, reducing forecast error and improving service levels. They will collaborate with their demand planning peers on best practices and standardizing forecast methodologies.
The Demand Planning Associate will collaborate with their Inventory Manager counterpart on changes to promotions and assortment. As forecasts are updated, they will need to reconcile changes and back them up with analysis and data. They will build partnerships across Data Science, Merchandising, Marketing and other cross functional teams.
Essential Functions:
- Monitor and improve sales forecasts for an assigned family of business
- Fine tune parameters of statistical forecast algorithms to optimize accuracy
- Analyze historical selling to refine and improve seasonal selling models
- Leverage reporting to identify category and location level selling trends, determine best course of action to take in the system
- Meet regularly with Inventory Manager counterparts, presenting results on forecast accuracy and planned improvements
- Ensure changes to marketing and assortment are accounted for in forecasts
- Partner with data science on improvements to forecasting methodologies, new product introduction, season profiles, etc.
- Inspires, motivates, and influences the behavior of others to drive high performance.
- Engages team to examine current practices and encourages creative thinking about how things could be more effective and efficient.
- Asserts own ideas and persuades others in a clear, confident, and composed manner. Tailors message for the audience and is able to gain support and commitment from others.
- Comfortable with taking risks and celebrating risk taking regardless of outcome.
- Collaborative, consultative style with a strong ability to establish trust and build relationships across all levels and functions of the organization.
- Resilient, tenacious, high energy.
- Able to rapidly bounce back from adversity.
- Embraces change with realistic optimism and persists through challenges and setbacks caused by change.

Profile

- 3-5 years related experience
- Practices open and continuous communication, values keeping others informed, effectively presenting information in a clear, concise manner.
- Excellent leadership, facilitation, and interpersonal skills, with the ability to work across functional lines and at many levels.
- Ability to think creatively, strategically and technically
- Ability to work a flexible schedule based on department and Company needs.
- Advanced Proficiency with MS Excel, including advanced formulas and pivot tables; macros and VBA coding
- Experience with a statistical based demand forecasting application, Teradata DCM, JDA Blue Yonder Demand or similar
- Familiarity with statistical concepts commonly used in forecasting and forecast accuracy KPI (bias, MAPE, MAD, etc.)
This job description is not all-inclusive, and Macy's Inc. reserves the right to amend this job description at any time. Macy's Inc. is an Equal Opportunity Employer and is committed to a diverse and inclusive work environment. Candidates for positions in San Francisco ONLY can review their rights and the Company's obligations under SFPC Art. 49 here. Candidates for positions in Los Angeles ONLY can review their rights and the Company's obligations under LA MC Ch. XVIII Art. 9 here. Candidates for positions in Philadelphia ONLY can review their rights and the Company's obligations under PC Ch. 9-3500 here.
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