**Role can be located in Arlington, VA, Seattle, WA or Charleston, SC**

Amazon strives to be Earth's most customer-centric company, where customers can find and discover almost anything they want to buy online. By giving customers what they want - low prices, vast selection, and convenience - Amazon continues to evolve as a world-class e-commerce service.

With Print-On-Demand (PoD), we envision a world where customers can buy any book in any language on Amazon, where publishers and authors can distribute their titles across Amazon’s global websites without having to hold physical inventory, where every book is always “in-stock” and customer orders are manufactured in real-time and delivered on-time, helping the environment by only printing books readers want.

Amazon seeks a Senior Business Intelligence Engineer (Sr BIE) to be a key partner for Amazon POD, a global, high-growth publishing and manufacturing business with a range of product offerings for Authors and Publishers to reach Readers on and off-Amazon. We’re looking for a top analytical mind capable of understanding our complex systems, driving data driven insights to improve KPIs and leveraging this knowledge to help turn the flywheel of the business.


Key job responsibilities
The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment.
This role will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. The role will involve translating broad business problems into specific analytics projects, conducting deep quantitative analyses, communicating results effectively and building tools that speed up decision making. We see a high potential for influence and growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business. The role will help the organization identify, evaluate, and evangelize new techniques and tools to continue to improve our ability to deliver value to Amazon’s customers.


A day in the life
* Directly interface with business customers, gathering requirements and delivering complete BI solutions.
* Analyze and extract relevant information from large amounts of data to help automate and optimize solutions to key business problems.
* Drive roadmap and sprint planning cycles, participate and support business reviews, annual planning and goal setting exercises.
* Work closely with software engineering and data engineering teams to build scalable data infrastructure solutions.
* Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
* Establish scalable, efficient, automated processes for large scale data analyses.