Key Responsibilities

1. Sales & Demand Analysis

• Analyze historical e-commerce sales data and market trends to forecast future product demand across seasons, divisions, and key categories.
• Identify business opportunities, potential risks, and performance gaps through data-driven insights.

2. Merchandise Planning

• Develop comprehensive e-commerce merchandise plans on a weekly, monthly, semi-annual, and annual basis for the company’s primary sales channel.
• Prepare and manage:Sales plans aligned with company targets Initial product allocation strategies Inventory plans to ensure optimal stock availability and turnover

3. Cross-Functional Collaboration

• Collaborate closely with Merchandising and Inventory Control teams on:Pricing strategies and adjustments Inventory balancing, including size-level replenishment and reduction

• Coordinate with Marketing/Digital teams and other stakeholders to align promotional and commercial initiatives.

4. Omnichannel & Platform Integration

• Align merchandise plans with key business touchpoints, including:E-commerce website merchandising Digital and social media communications Customer acquisition initiatives O2O (online-to-offline) promotions Inventory and warehouse operations

5. Performance Monitoring & Optimization

• Track and evaluate sales performance, gross profit, and inventory health post-implementation.
• Take timely actions and adjust strategies based on business performance, market trends, and changing conditions.

Qualifications & Requirements

• Bachelor’s degree in Mathematics, Statistics, Finance, Business, or a related field
• Minimum of 3 years’ experience in retail or e-commerce
• Strong analytical mindset with a keen interest in data analysis, trend evaluation, and risk/opportunity assessment
• Solid understanding of basic statistics and data-driven decision-making
• Excellent communication and presentation skills, with the ability to collaborate across teams
• Ability to work effectively under pressure in a fast-paced environment
• Quick thinker with strong adaptability in handling large datasets and tight deadlines
• High level of computer literacy, including experience with internal systems for sales and customer data analysis
• Strong commercial awareness, including market trends, competitors, customer behavior, and macroeconomic factors