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๐Ÿง  SQL Interview Question (Moderate & Revenue Analysis)
๐Ÿ“Œ

orders(order_id, customer_id, order_amount)

โ“ Ques :

๐Ÿ‘‰ Find customers who contribute more than 30% of the total company revenue.

๐Ÿงฉ How Interviewers Expect You to Think

โ€ข Calculate overall total revenue
โ€ข Aggregate revenue at customer level
โ€ข Compare individual contribution against total
โ€ข Avoid recalculating total multiple times inefficiently

๐Ÿ’ก SQL Solution

WITH total_revenue AS (
SELECT SUM(order_amount) AS total_rev
FROM orders
),
customer_revenue AS (
SELECT
customer_id,
SUM(order_amount) AS cust_rev
FROM orders
GROUP BY customer_id
)
SELECT c.customer_id
FROM customer_revenue c
CROSS JOIN total_revenue t
WHERE c.cust_rev > 0.30 * t.total_rev;

๐Ÿ”ฅ Why This Question Is Powerful

โ€ข Tests percentage-based business logic
โ€ข Evaluates ability to combine multiple aggregations
โ€ข Reflects real-world Pareto (80/20) analysis scenarios
โ€ข Common in product, growth & revenue analytics interviews

โค๏ธ React if you want more real interview-level SQL questions
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