Adidas SR SPECIALIST BUSINESS PLANNER 

Singapore, Singapore 

283091164

Purpose & Overall Relevance for the Organization:

Maximize KPIs performance of the Top accounts through:

• An optimum sell in planning based on historical sell out data

• A perfect product distribution per store

• Generate relevant insights in order to take on-season decisions

Key Responsibilities:

• Provide the Key Account Management team with reliable sell out and market data in order to support business decisions

• Responsible for sell out data maintenance integration with partners and internally through BI

• Assure a correct planning of the presale and product distribution to guarantee a correct assortment for each Point of Sale in order to maximize sell out performance

• Provide our top accounts with sell out analysis that allows a better decision-making process and sustainable growth with our brands

• Tool generation which purpose is to identify reorder opportunities across the wholesale customers based on SO and stock levels.

• Plan and execute the necessary projects to achieve the objectives of the adidas strategy in the key accounts

• Guarantee, in alignment with the key account and trade marketing management, optimum monitoring and performance of stock and sell out in main points of sale

• Tracking performance of targets achievements in accounts in scope

• To measure performance on own predefined KPIs

• Sell out

• Sell In

• Market Share

• To monitor and report on customers KPIs

• Sell out per sqm

• Stock

• Months of Stock

• Stock Turnover

• End Margin

Key Relationships:

• Account marketing, VM, KAM, DPC, OF

Knowledge Skills and Abilities:

• Ideal to have experience in Retail or Consumer Goods Industry

• Communications skills and management of external relations in order to build strong relations with Key Account Partners

• Proven experience in a commercial role

• Strong negotiation and communication skills

• Ability to analyze market trends and data

Requisite Education and Experience / Minimum Qualifications:

• University degree or equivalent education required

• 2 + years' experience

• Proven experience in an analytical role

• Intermediate English

• Very good Excel skills (Power BI is +)