Title: Top Amazon & Flipkart Case Studies Every BA Fresher Must Know Content: Breaking into Business Analytics as a fresher is tough, but there’s one shortcut that consistently works: case studies. In 2025, more than 70% of BA interviews across India, including Amazon, Flipkart, Swiggy, and fintech companies, are scenario-based. Interviewers don’t want bookish definitions; they want proof that you can think like an analyst. That’s why Amazon and Flipkart examples dominate BA discussions because they are relatable, data-rich, and easy to convert into portfolio projects. Case Study #1: Flipkart Big Billion Days - Inventory Optimization During festival sales, demand spikes can break even the strongest systems. Flipkart once reported stockout-driven revenue loss of nearly ₹500 Cr due to poor forecasting. ● BA role: analyzing past sales using SQL window functions, forecasting demand with Pandas, and creating Excel-based safety stock dashboards. ● Impact: 35% improvement in inventory efficiency. ● Fresher takeaway: Use any open e-commerce dataset and replicate a simple forecasting model + inventory sheet. This becomes a highly interview-friendly GitHub project. Case Study #2: Amazon Prime - Early Churn & Retention Analysis Amazon struggled with 25% early churn within the first 90 days of Prime membership.
● BA role: performing cohort analysis, identifying drop-off patterns, and segmenting users by usage behavior (deliveries, video hours, app logins). Using Tableau and SQL, analysts identified low-benefit adoption segments and designed targeted nudges such as free delivery reminders and Prime Video onboarding. ● Impact: 28% improvement in Lifetime Value (LTV). ● Fresher takeaway: Build a churn cohort dashboard with 3-month retention and talk through it in interviews. Case Study #3: Flipkart - Customer Segmentation for Marketing Flipkart’s one-size-fits-all campaigns were converting at only 15%. ● BA role: running K-means clustering in Python, defining user personas, and recommending segment-based campaigns (value shoppers, premium buyers, festival-only users, etc.). ● Impact: A 22% uplift in marketing conversions. ● Fresher takeaway: Segmentation mini-projects are among the easiest and highest ROI portfolio pieces. Skills That Should Be Learn Across the Three Cases 1. Inventory Optimization: SQL + forecasting. 2. Prime Retention: Cohort analysis + dashboards. 3. Marketing Segmentation: Clustering + storytelling. This is the exact skillset interviewers expect from freshers. And if you're looking to learn all these skills, you can learn through the best software training institute in Madurai, offering real-world BA projects inspired by Amazon, Flipkart, and other top companies. Fresher Action Plan: Turn These into a Portfolio ● Download 7 datasets or simulate them with dummy values.
● Spend 3–4 hours per case on SQL + Excel/Python. ● Build dashboards and upload everything to GitHub/Tableau Public. Prepare a 2-minute “problem → approach → result” summary for interviews. Conclusion If you’re a fresher, mastering just 3–5 case studies like the ones above can instantly sharpen your interview confidence. But building these projects alone can be time-consuming, especially without structured datasets, guidance, or feedback. This is exactly where Osiz Labs Business Analytics Course in Madurai makes a difference. Students get, hands-on experience in tools, a portfolio with GitHub projects, Mock interviews, Placement assistance with resume optimization and job referrals For freshers in Tamil Nadu and across India, especially around Madurai, Osiz Labs has become a trusted path to landing ₹6–12 LPA BA roles. We also offer flexible internship programs (15-day, 1-month, and 3-month options) with certification, allowing students to choose their domain and gain practical experience to launch their IT careers confidently. Enroll Now: https://www.osizlabs.com/blog/business-analyst-course Whatsapp: +91 9500481067
