Regional Data Analyst

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.