Amazon Global Selling has been helping individuals and businesses increase sales and reach new customers around the globe. Today more than 50% of Amazons total unit sales come from third-party selection. The Global Selling team in China is responsible for recruiting local businesses to sell on Amazons 19 overseas marketplaces and supporting local Sellers success and growth on the Amazon. Our vision is to be the first choice for all types of Chinese business to go globally.
Key job responsibilities
- Design develop and maintain scalable data infrastructure and ETL pipelines to support business intelligence initiatives using automated dashboard solutions
- Partner with Product Technical Business and Marketing teams to understand data requirements and design scalable and user-friendly BI solutions
- Design and implement AI/LLM-powered solutions to automate human-in-the-loop tasks
- Design and develop statistical analysis to support business decision making using the AI infrastructure and company wide solutions
About the team
The Amazon Global Selling Analytics Intelligence and Technology (AGS-AIT) team serves as the research automation and insight arm of the International Seller Service data hub enabling rapid delivery of growth insights through strategic investments in regional data foundations self-service business intelligence solutions and artificial intelligence tools.
The AGS-AIT team is positioned to establish AI-ready foundational capabilities across the AGS organization while maintaining excellence in business insight generation and self-service BI/AI application development.
AGS-AIT is looking for a Business Intelligence Engineer to collaborate with cross-functional teams to design and develop data infrastructure and analytics capabilities for AGS AI and Automation initiatives.
- 1 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. t-test Chi-squared)
- Experience with scripting language (e.g. Python Java or R)
- Experience with data querying or modeling with SQL
- Masters degree or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis co-relation analysis
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