Job Description
Key Responsibilities :
-Build and maintain buying dashboards for SEA business performance.
Analyze sales, inventory, sell-through, markdown, replenishment and profitability across all SEA markets.
-Provide weekly, monthly and seasonal business/buying performance reports with actionable insights.
Identify sales opportunities, product risks and inventory issues through data analysis.
-Support assortment planning by providing SKU, category, color, size and price architecture analysis.
-Track new product performance and recommend optimization strategies.
-Conduct country comparisons and benchmark performance across SEA markets.
-Develop demand forecasts to support buying and inventory planning.
-Partner with HQ BI/Data teams to improve reporting efficiency and dashboard automation.
-Ensure data accuracy and consistency across business reports.
-Support ad hoc business analysis requested by Product, Buying and Management teams.
-Translate complex data into clear business/buying recommendations for non-technical stakeholders.
Requirements :
-Bachelor's Degree in Data Analytics, Statistics, Business Analytics, Computer Science, Mathematics or related field.
-Minimum 3–5 years of experience in data analytics, preferably within fashion retail, FMCG or e-commerce.
-Strong analytical and problem-solving skills with a commercial mindset.
-Advanced Microsoft Excel skills (Pivot Tables, Power Query, XLOOKUP, Index-Match).
-Experience with Power BI, Tableau or similar BI visualization tools.
-Experience writing SQL queries for data extraction and analysis.
-Familiarity with Python or R is an advantage.
-Understanding of retail merchandising KPIs is highly preferred.
-Able to communicate findings clearly to business stakeholders.
-Fluent in English; Mandarin is preferred for collaboration with HQ.
More Info
Key Skills
About Company
