Business Analyst Intern, AGL CN BI
Amazon.com
Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. To serve the goal, Amazon has created one of the most advanced fulfillment and logistic networks in the world.
Amazon Global Logistics in China is a team of highly experienced logistics professionals, product & program manager and carrier specialists actively participating in Amazon's international expansion goals. We are seeking some highly motivated individuals who are interested in improving the way products are bought, sold, and distributed on a global scale to join us in China.
Scope of Work:
1. Provide comprehensive support for team reporting preparation and analysis
2. Execute SQL queries and database operations to retrieve and manage team data requirements
3. Use Python (e.g., pandas) to clean, transform and format data for reporting and downstream use.
4. Perform thorough data validation to maintain accuracy, integrity, and consistency across all datasets
5. Handle essential administrative tasks and day-to-day operational support
6. Update KPI metrics, monitor KPI performance and support the KPI performance deep dive by raw data sharing and simple analysis;
7. Provide data support for team operations, projects and ad-hoc requests;
8. Design, develop and maintain scaled, automated, dashboards that will support business needs.
Amazon Global Logistics in China is a team of highly experienced logistics professionals, product & program manager and carrier specialists actively participating in Amazon's international expansion goals. We are seeking some highly motivated individuals who are interested in improving the way products are bought, sold, and distributed on a global scale to join us in China.
Scope of Work:
1. Provide comprehensive support for team reporting preparation and analysis
2. Execute SQL queries and database operations to retrieve and manage team data requirements
3. Use Python (e.g., pandas) to clean, transform and format data for reporting and downstream use.
4. Perform thorough data validation to maintain accuracy, integrity, and consistency across all datasets
5. Handle essential administrative tasks and day-to-day operational support
6. Update KPI metrics, monitor KPI performance and support the KPI performance deep dive by raw data sharing and simple analysis;
7. Provide data support for team operations, projects and ad-hoc requests;
8. Design, develop and maintain scaled, automated, dashboards that will support business needs.
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