Amazon Data Analyst SQL Interview Kit

You applied to Amazon. Your resume got shortlisted. The HR call went well.

Then came the SQL round — and everything stopped.

"Find customers who churned in the last 60 days."

"Calculate month-over-month GMV growth."

"Build a purchase funnel from the events table."

These questions are not random. Amazon has a fixed set of patterns that repeat across every interview — different words, same underlying logic.

This kit is those patterns. Compiled from 4+ years of e-commerce analytics experience, Amazon job descriptions, and real interview discussions.

📦 What's Inside:

✅ 24 Amazon-Pattern SQL Questions — the exact query types that appear in Amazon DA, DE, and BA interviews

✅ 8 Business-Focused Topic Areas:

Customer Analytics • Order & GMV Analysis • Seller Performance • Purchase Funnel • Delivery & SLA • Advanced Window Functions • Prime vs Non-Prime • Query Optimization

✅ Amazon Leadership Principles Tag on every question — Customer Obsession, Dive Deep, Deliver Results, Ownership, Frugality, Think Big. SQL skill alone won't get you the offer. LP alignment will.

✅ Full SQL Solutions — every question includes a clean, production-ready query with a line-by-line explanation

✅ Pro Tips on every question — the one insight that separates shortlisted candidates from rejected ones

✅ Bonus: Amazon Interview Strategy Guide — how to mention LPs naturally, how to ask about data scale, how to handle edge cases before the interviewer points them out

🎯 Who Is This For:

→ Anyone targeting Amazon DA, DE, or BA roles (0–5 years experience)

→ Candidates who failed Amazon's SQL round and couldn't figure out why

→ Analysts tired of generic LeetCode practice with no business context

→ Anyone who wants to walk into Amazon's interview room fully prepared

💡 What Makes This Different:

Most SQL prep resources give you abstract problems with no business context.

Amazon doesn't ask abstract problems. They ask about GMV trends, Prime customer LTV, inventory stock-out prediction, cancellation rate by seller, cross-sell product pairs — real metrics their teams run every single day.

Every question in this kit is framed exactly like Amazon frames it internally.

🧠 Sample Question — Q22:

"Find pairs of products most frequently bought together in the same order."

This is Amazon's cross-sell analysis query. The solution contains one specific trick — p1.product_id < p2.product_id — that eliminates duplicate pairs. 90% of candidates miss this. Interviewers specifically check for it.

Every single question in this kit has an insight like this.

❓ FAQs:

Which SQL dialect is used?

MySQL with notes for BigQuery/PostgreSQL where syntax differs — both commonly used at Amazon.

Is this for freshers or experienced candidates?

Both. Questions are labeled Easy, Medium, Hard. Freshers focus on Easy–Medium. Experienced candidates go straight to Medium–Hard.

Can I get a refund?

Digital products cannot be refunded. Please read the description carefully before purchasing. Feel free to message me with any questions beforehand.

📥 What You Get:

1 x Professional PDF — instant download — works on mobile, tablet, and desktop

💰 Price: ₹399

One-time purchase. Yours forever.

Land that Amazon offer. You're one interview away.