Amazon

Business Intelligence Engineer, Amazon Global

Job Description

We are looking for motivated BIE to join the Amazon Global Cross Border Seller Programs team. The BIE will work side-by-side 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 cross-border e-Commerce by becoming a one-stop 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 self-starting 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 Amazon’s fastest growing businesses.

Our team is a cross section of product, program, and tech leaders who own the end-to-end strategy and execution 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 data-driven 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field


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