Business Intelligence Engineer, Global Selling

Amazon Global Selling has been helping individuals and businesses increase sales and reach new customers around the globe. Today, more than 60% 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 20 overseas stores, and supporting local sellers' success and growth on Amazon. Our vision is to be the first choice for all types of Chinese business to go globally.

In this role, you will be working in one of the world's largest and most complex data warehouse environments. You should be passionate about working with complex datasets and be someone who loves to dive deep, analyze and turn data into insights. You should have deep expertise in analytic view of business questions, building up & refining metrics framework to measure business operation and translating data into meaningful insights.

You will have ownership of end-to-end analytics development to complex questions and you'll play an integral role in strategic decision making. You should have excellent business and communication skills to be able to work with business owners to understand business challenges & opportunities, and to drive data-driven decision into process & tool improvement together with business team.

Key Responsibilities:

• Analyze and interpret data using Redshift, Oracle, NoSQL, etc.
• Use data visualization tools like Tableau, Quicksight, or similar
• Perform data modeling, warehousing, and build ETL pipelines
• Conduct statistical analysis using packages such as R, SAS, and Matlab
• Use SQL to pull data from databases or data warehouses
• Use scripting (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

Above all, you should be passionate about how insights can be used to improve both the Customer and Seller experience of selling across borders.