Welcome to Interview Master! 👋

I'm here to help you practice Work Travel Expense Tracking and Optimization - a real SQL interview question from Airbnb.

Problem Overview

As a Business Analyst on the Airbnb for Work team, your task is to analyze corporate travel expense patterns to identify potential cost-saving opportunities. Your team is particularly interested in understanding the average booking costs, company-specific spending behaviors, and the impact of booking timing on costs. By analyzing these aspects, you aim to provide actionable insights that can help optimize corporate travel expenses.

This problem will test your SQL skills in:

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

What You'll Learn

By solving this Airbnb 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 Airbnb-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 Airbnb SQL challenge? Let's dive in! 🚀

Excellent! Let's break down "Work Travel Expense Tracking and Optimization" step by step.

Problem Analysis

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

Key Requirements

As a Business Analyst on the Airbnb for Work team, your task is to analyze corporate travel expense patterns to identify potential cost-saving opportunities. Your team is particularly interested in understanding the average booking costs, company-specific spending behaviors, and the impact of booking timing on costs. By analyzing these aspects, you aim to provide actionable insights that can help optimize corporate travel expenses.

Approach Strategy

For this Airbnb 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 Airbnb 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 Airbnb 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? 💻