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.