Job Accountabilities:

Build solid capacity plan for Nike Whole sales business, based on NSP door / concept modeling and door-level planning, across long-range forecast and seasonal gates. Lead, align and track NSP marketplace revenue.

Support NSP door / concept modeling & door-level planning across long-range forecast and seasonal gates.

• Marketplace Capacity Forecast: Model different retail KPIs (e.g., fleet productivity, comp growth, traffic, conversion) and simulate multiple growth scenarios to support wholesale revenue planning and identify long-term opportunities. 
• Seasonal RSV & Buy Plan: Lead door-level sales forecasting for Nike wholesale accounts and align with account MFP to facilitate door level OTB & seasonal door cluster plans. 
• Fleet Plan Tracking: Collaborate with the MP team to monitor NSP fleet progress (new stores, renovations) and identify risks/opportunities.

Lead NSP in-season plan alignment, performance tracking, and post-season recaps. 

• In-season key door revenue target: co-work with Acct planning on target alignment
• Performance Tracking: Review in-season door performance and cFOP & key product performance.
• Recap: conduct post-season analysis to evaluate results vs. plan/LY, including drivers of different door project type, and share insights.

Job Qualifications:

• Business planning, buying experience with other apparel / footwear or FMCG brands
• Comprehensive understanding of retail math
• Ability to create reports, sales plans based on business sense
• Strong and demonstrated ability to effectively communicate and influence others
• Advanced knowledge of MS office applications; proficiency in Excel including creating spreadsheets, complex formulas, pivot tables, etc.
• Good team player and ability to work with the cross functional partners on all aspects of the business

Critical Experiences Gained:

• Finance knowledge
• Product insights
• Effectively communication and Influencing skills
• Planning experience in sports/FMCG/fast fashion brands is a plus
• Experience of coding or big data analysis (eg: VB, SQL server, Python) is a plus