Скачать или смотреть SQL Interview Question | Razorpay | Senior Analytics Specialist

In this tutorial, we dive into an advanced SQL interview problem based on Razorpay-style datasets—covering three tables (orders, customers, and sellers). Learn how to use CTEs, aggregation and powerful window functions like RANK(), DENSE_RANK(), and ROW_NUMBER() to: 1️⃣ identify sellers who made no sales during the year 2024, and 2️⃣ find the customer with the 2nd highest total sales value in 2024. Perfect for data analysts prepping for Razorpay interviews, using real-world SQL techniques for analyzing seller sales gaps and ranking customers. If you want to master SQL window functions, CTE-based logic, and ranking logic that employers love, this walkthrough is a must-watch! Keywords: Razorpay SQL interview, SQL window functions, CTE, rank, dense_rank, row_number, seller no sales, second highest sales.

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