Internship - Business Management / Business Analytics (Commerce)

Responsibilities: 1. Develop automated analytics dashboards integrating sales, marketing, and category performance metrics (e.g., GMV, traffic, conversion rates, ROAS), replacing manual Excel-based reports with real-time, auto-refreshing data views. 2. Build marketing performance analytics pipelines by merging campaign data (Google Ads, Meta Ads, etc.) with internal sales data to evaluate ROI and identify key revenue drivers. 3. Create automated scripts and models to detect revenue-impacting anomalies such as outlier pricing, low-performing products, stockouts, or campaign underperformance. 4. Conduct deep-dive analysis on customer behavior, seller performance, and conversion trends to uncover insights that can increase sales or marketing efficiency. 5. Collaborate with cross-functional teams (Business, Product, Marketing, and Tech) to design data models, automate reporting workflows, and translate business needs into technical solutions. 6. Prototype predictive tools (e.g., sales forecasts, churn predictors, or product recommendation models) to support data-driven decision-making. Qualifications Requirements: Strong foundations in data analysis, statistics, and applied machine learning. Proficient in Python, SQL, and data visualization tools (e.g., Power BI, Tableau, or Google Data Studio); experience with APIs or automation scripts is a plus. Strong business acumen and communication skills, with the ability to translate complex data findings into actionable insights that support e-commerce growth. (Applicants must commit to at least a three-month full-time internship period)