24 SQL Problems That Test Analytical Thinking

24 SQL Problems That Test Analytical Thinking

SQL interviews don’t just test syntax.

They test how well you:

  • Understand data relationships
  • Translate business questions into logic
  • Think step-by-step

Below are 24 SQL problems that companies use to evaluate real analytical thinking, not memorization.

What Interviewers Are Really Testing

With these problems, interviewers want to see if you can:

  • Break vague questions into steps
  • Choose the right joins and filters
  • Validate results logically

If you can explain your approach, you’re already ahead.

Beginner-Level SQL Problems

1. Find the total number of customers

Tests: COUNT()

2. Find the total revenue per month

Tests: GROUP BY, date handling

3. Find customers who placed more than one order

Tests: GROUP BY, HAVING

4. Find the top 5 products by sales

Tests: ORDER BY, LIMIT

5. Find orders placed in the last 30 days

Tests: date filters

6. Find customers who never placed an order

Tests: LEFT JOIN, NULL handling

Intermediate-Level SQL Problems

7. Find average order value per customer

Tests: aggregation logic

8. Find duplicate records in a table

Tests: grouping and counting

9. Find the highest-spending customer

Tests: subqueries or ranking

10. Calculate month-over-month growth

Tests: window functions

11. Find customers who ordered in consecutive months

Tests: date logic

12. Rank products by category sales

Tests: RANK() / DENSE_RANK()

13. Find the second highest salary

Tests: subqueries or window functions

14. Identify churned customers

Tests: time-based logic

15. Compare this month’s sales to last month

Tests: self-joins or window functions

Advanced-Thinking SQL Problems

16. Find users who upgraded plans

Tests: event sequencing

17. Calculate rolling 7-day averages

Tests: window frames

18. Identify abnormal spikes in activity

Tests: trend comparison

19. Find products with declining sales

Tests: time series logic

20. Detect data inconsistencies between tables

Tests: joins and validation

21. Identify customers at risk of churn

Tests: behavioral analysis

22. Segment customers by behavior

Tests: case statements

23. Compare performance across regions

Tests: multi-level aggregation

24. Validate KPI calculations

Tests: business logic and sanity checks

How to Approach These Problems in Interviews

Before writing SQL:

  1. Clarify the question
  2. Identify tables and keys
  3. Decide on joins
  4. Define metrics
  5. Validate output

Interviewers care more about your thinking than perfect syntax.

If you can solve these problems:

  • You understand SQL beyond basics
  • You can handle real business questions
  • You’re interview-ready

SQL is not about memorization, it’s about logic.

FAQs

1. Are these SQL problems good for beginners?

Yes. They start simple and gradually increase in complexity.

2. Do I need advanced SQL to solve these?

No. Strong logic matters more than advanced syntax.

3. Are these problems asked in real interviews?

Yes. Variations of these appear in many data analyst interviews.

4. Should I write full queries when practicing?

Yes. Writing and explaining queries builds confidence.

5. How often should I practice SQL problems?

Consistent practice, even 20–30 minutes daily, works best.

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