Description Amazon Global Selling has been helping individuals and businesses increase sales and reach new customers around the globe. Today, more than 50% of Amazon's total unit sales come from third-party selection. The Global Selling team in China is responsible for recruiting local businesses to sell on Amazon’s 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. And the Global Selling Central BI team is looking for a Business Intelligence Engineer to collaborate with cross-functional teams to design and implement data solutions that drive seller success and operational excellence, while leveraging latest AI, LLM, and automation technologies to drive innovation. Key job responsibilities • Design, develop, and maintain scalable data infrastructure and ETL pipelines to support business intelligence initiatives • Partner with Product, Technical, Business, and Marketing teams to understand data requirements and design scalable and user-friendly BI solutions • Lead end-to-end Customer Data Platform (CDP) initiatives including design and implement customer data models, identity resolution frameworks, real-time data integration pipelines , customer segmentation logic, privacy-compliant data governance, and development of actionable customer insights • Create and optimize SQL queries, stored procedures, and data models to ensure efficient data processing • Implement automated reporting and dashboard solutions to track KPIs and business metrics • Design and implement AI/LLM-powered solutions to automate routine tasks and enhance decision-making processes Basic Qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.