We are looking for motivated BIE to join the Amazon Global Cross Border Seller Programs team. The BIE will work sidebyside with the Product and Business team members as they support the team driving success and growth of Cross Border Seller Programs. This is an exciting opportunity to develop analytical insights and work directly with business and product leaders to shape Cross Border Strategy.
Amazon Global is pioneering crossborder eCommerce by becoming a onestop shop for Amazon Customers Worldwide and providing a seamless experience to shop international selection. XB Seller Experience is a key driver for the growth for this business and we are looking for a dynamic organized and selfstarting BIE candidate to take on a critical role in developing cross border Seller reporting and analytics to deliver key insights to teams around the work for one of Amazons fastest growing businesses.
Our team is a cross section of product program and tech leaders who own the endtoend strategy and of improving the XB seller experience to increase global selection offering for worldwide customers. The optimal candidate will owns the reporting and analytics for Seller and selection growth across 45 countries deep diving to develop insights that help drive our strategy. Our team works with product tech legal ML UX and business teams across the world to deliver unique selection that delights our customers and Sellers around the world.
As a Business Intelligence Engineer you will work with our Business and Product Teams to create automated and scalable analytical tools that will ultimately be critical in driving the growth and expansion of the business. This includes building the infrastructure for regular reporting and diving deep to uncover insights that will impact business and product decisions. You will leverage data to provide key datadriven insights enable new analyses and innovate on behalf of our business customers.
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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
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 largescale complex datasets
Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
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