ASSISTANT MANAGER OMNI CHANNEL TRADING

PURPOSE & OVERALL RELEVANCE FOR THE ORGANISATION.
Data analytics and insights is the key part for this position.
Provide business recommendations and call-out actions thru data cross check and reading.
Drive action plan proactively to achieve company target.
KEY RESPONSIBILITIES.
Planning and Reporting Routine.
Deliver top level weekly performance tracking to key stakeholders.
Region/Account/Category/Division view Product campaign/category/APP type/FTW model SI/ST/ST%/ROS/WEEKS COVER Ad-hoc.
specific deep dive to dig out root caused and seek business opportunity.
(Region/Account/POS level) Report reading, analysis and provide insights to drive actions thru weekly trade meetings.
Trading Provide stock sharing suggestions based on product performance and inventory level.
Lead weekly channel trade meeting, share business status and findings, help the stakeholders understanding the business.
Get channel feedback that what’s working/not working in real market, product feedback, store action, and align quick actions for business improvement.
Weekly action plan follow-up and track effectiveness, Work with OPS/SALES/TRADING team to ensure the implementation of in season actions.
Lead OMNI stock sharing and in season reorder proposal.
KEY RELATIONSHIPS.
Inline Buying, Allocation, OMB Planning, SALES, OPS, Trading   KNOWLEDGE, SKILLS AND ABILITIES.
Solid Data analyze skill.
Business acumen  Product Management or Merchandising experience Communication and presentation skills, relationship management and empathy High energy, and strong job ownership   REQUISITE EDUCATION AND EXPERIENCE / MINIMUM QUALIFICATIONS.
University advanced degree Minimum 3 years’ experience in merchandising planning / buying function, ideally in apparel/fashion design/shoes of which min 2 years in core business related function.
Rigorous business analysis - understanding and interpreting data; putting data/analysis/tools in a structured, easy-to-use format; and making recommendations that team can act upon Prefer very good Excel modelling skills and ability to develop useful models/tools that can be rolled out to merchandising and retail teams, power BI skill is a plus.