We are looking for motivated BIE to join the Amazon Global Cross Border Selection 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 Selection Expansion. This is an exciting opportunity to develop analytical insights and work directly with business and product leaders to shape Cross Border Selections Expansions 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. Selection is a key input driver 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 selection 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 and program managers who own the end-to-end strategy and execution of growing selection offerings for worldwide customers. The optimal candidate will owns the reporting and analytics for selection growth across 45+ countries deep diving to develop insights that help drive our strategy for acquiring new selection and retaining existing selection. Our team works with product, tech, legal, ML, and compliance teams across the world to deliver unique selection that delights our customers 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 on business and production selection data and diving deep to uncover insights that will impact selection expansion decisions. You will leverage data to provide key data-driven insights, enable new analyses, and innovate on behalf of our business customers.

Key job responsibilities
· Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, and dashboards to support business needs.
· Generate actionable insights through the development of metrics, dashboards and deep dive analyses.
· Serve as a technical, business-metrics specialist and insight provider in the organization.
· Act as a key interface between our business customers and technical divisions.
· Leverage extensive data sets to derive strategic insights that shape business decisions on content spend.
· Present insights to senior stakeholders in Product and Business Teams.
· Work in a fast paced, global environment, across various functional teams.

About the team
Are you interested in building next generation services that will re-define international trade at Amazon? Do you want to improve how shoppers around the world discover and purchase global merchandise? Amazon Exports and Expansion is building new services responsible for enhancing the international shopping experience. Global Store (GS) and Core Exports (CE), together, enable cross-border (XB) shopping for Amazon customers worldwide. CE serves cross-border customers in 200+ destinations and shopping on 11 Exports-enabled stores by providing access to 177M+ products at competitive prices, with a localized shopping experience, and a reliable and accurate delivery experience. GS complements the local flywheel in 14 countries across 59 source-destination pairs (arcs), creating an integrated experience, enabling customers to shop Amazon’s international selection on their local Amazon or 3P website. GS abstracts XB fulfillment processes to make it seamless for customers to shop for Amazon’s international selection while rendering a fully localized experience with access to competitive pricing in local currency, cross border DEX, C-returns, exclusive deals and promotions, local payment methods and local customer service. - 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- 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

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