Welcome to Interview Master! 👋

I'm here to help you practice Third-Party Seller Fees and Performance Metrics - a real SQL interview question from Amazon.

Problem Overview

You are a Data Analyst on the Amazon Marketplace Analytics team focused on optimizing fee structures for third-party sellers. Your goal is to analyze how transaction amounts and fee percentages impact seller performance, with an emphasis on identifying top sales, weekly trends, and cumulative transaction counts. The insights you uncover will guide strategic fee adjustments to incentivize high-performing sellers and enhance overall marketplace efficiency.

This problem will test your SQL skills in:

• Complex query writing and optimization
• Data analysis and manipulation
• Real-world database scenarios used in Amazon interviews
• Advanced SQL concepts and best practices

What You'll Learn

By solving this Amazon SQL interview question, you'll gain experience with:

• Writing efficient SQL queries for production databases
• Understanding complex data relationships and schema design
• Applying SQL skills in a Amazon-style technical interview setting
• Problem-solving techniques used by data scientists and analysts at top tech companies

Getting Started

Use the SQL editor on the right to:

1. Explore the database schema and table structures
2. Write and test your SQL queries in a real SQLite environment
3. Get instant feedback on your query results
4. Learn from hints and detailed explanations

Ready to practice this Amazon SQL challenge? Let's dive in! 🚀

Excellent! Let's break down "Third-Party Seller Fees and Performance Metrics" step by step.

Problem Analysis

Company: Amazon
Problem Type: SQL Interview Question
Skill Level: Professional interview preparation

Key Requirements

You are a Data Analyst on the Amazon Marketplace Analytics team focused on optimizing fee structures for third-party sellers. Your goal is to analyze how transaction amounts and fee percentages impact seller performance, with an emphasis on identifying top sales, weekly trends, and cumulative transaction counts. The insights you uncover will guide strategic fee adjustments to incentivize high-performing sellers and enhance overall marketplace efficiency.

Approach Strategy

For this Amazon SQL interview question, consider:

1. Data Exploration: Start by examining the table schemas to understand the data relationships
2. Query Planning: Think about which tables you'll need to JOIN and what conditions to apply
3. SQL Optimization: Consider performance implications for large datasets (important for Amazon scale)
4. Edge Cases: Think about NULL values, duplicate data, and boundary conditions

Next Steps

1. Click on the "Schema" tab in the SQL editor to examine the table structures
2. Review the sample data to understand the data patterns
3. Start with a basic SELECT statement and build complexity gradually
4. Test your query and iterate based on the results

This type of SQL problem is commonly asked in Amazon technical interviews for data analyst, data scientist, and software engineer positions. Take your time to understand the problem thoroughly before writing your solution.

Ready to start coding? 💻