Crack Your SQL Interview: 20 Basic to Advance SQL Interview Questions Helps in Data Analyst 2026

Описание: Here are 20 SQL interview questions that companies actually ask—covering joins, subqueries, indexing, performance, and more. Perfect for anyone preparing for tech interviews or brushing up on database fundamentals.

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The questions cover a wide range of difficulty levels—from basic SQL concepts like SELECT, WHERE, GROUP BY, and JOIN clauses, to more advanced topics such as subqueries, indexing, normalization, constraints, window functions, performance optimization, and query tuning. Each question reflects the kind of problems you are likely to encounter in actual interviews, making this list highly relevant and interview-focused.

Whether you are a fresher preparing for your first SQL interview, a working professional looking to switch jobs, or someone revisiting SQL after a break, this collection will help you:

-- Understand what interviewers really expect from SQL candidates
-- Strengthen your problem-solving and query-writing skills
-- Identify common mistakes and performance pitfalls
-- Build confidence to tackle both simple and complex SQL questions


🥇 00:00 - Introduction to SQL Interview Questions And Answers


👨‍💻 SQL Interview Questions for Freshers (Basics with Queries)

04:55 - Setup and Create Database with SQL file.
09:50 – Q1. Count total customers
10:30 – Q2. Find customers from New York
11:40 – Q3. Total orders per customer
13:00 – Q4. Total revenue
14:10 – Q5. Average order value
15:10 – Q6. Customers who signed up in 2022
16:30 – Q7. Customers with more than one order
17:50 – Q8. Customer name with total spending
19:30 – Q9. Customers with no orders
20:40 – Q10. Orders placed in March 2022

👨‍💻 Intermediate SQL Interview Questions (Core Concepts + Joins)

22:11 – Q11. Highest order amount
23:20 – Q12. Total quantity sold per product
24:50 – Q13. Rank customers by total spending
28:30 – Q14. Top 2 highest-spending customers
31:30 – Q15. Running total of revenue by date

👨‍💻 Advanced SQL Interview Questions (Window Functions & Analytics)

35:10 – Q16. Category-wise revenue
39:40 – Q17. Most sold product (by quantity)
45:30 – Q18. Customers spending above average
51:30 – Q19. Customer spending classification (CASE)
58:50 – Q20. Customers who purchased Electronics


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