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Description

Interested in building complex data architectures and applying advanced analytical techniques at a large scale? Curious how we decide to fulfill Customer orders in the most efficient way possible across marketplaces and business programs? Want to be a part of a core team dedicated to building the systems that do this?

Every time an Amazon Customer makes a purchase, the Fulfillment Optimization (FO) Team sets the expectation for when their items arrive and decides how they are delivered in the most efficient way. This team and it's technology serve as the interface between Customer expectations and Amazon's industry leading fulfillment capabilities. We are part of Amazon's Supply Chain Optimization Technology (SCOT) Group that develops and manages systems which optimize inventory acquisition and placement so products are available for fast delivery. Our systems also optimize transportation and fulfillment plans to enable delivery options for our Customers. See this short video for more info (https://tiny.amazon.com/duw7g663/youtwatc)

The FO Product Team is seeking an exemplary Business Intelligence Engineer (BIE) with broad technical skills to build analytic and reporting capabilities that enable optimization of delivery promises for our millions of Customers worldwide. The ideal candidate is a highly analytical, critical thinker with advanced problem solving, data mining, and software development skills. They will enjoy working with world-class economists, research scientists, data engineers, and software developers to drive decisions across Amazon’s retail and operations teams. Successful members of this team are Customer obsessed, flexible, and collaborative team players who enjoying working across functions and organizations to solve problems and get results. They ask hard questions and build scalable solutions that provide critical business insight necessary to influence decision making across retail and operations teams. They find timely answers buried in large data sets and complex systems, identify root causes, get their hands dirty building data systems and sharing insight.

Job Responsibilities Include

• Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis

• Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations

• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning and econometric models

• Mining and manipulating data from database tables, simulation results, and log files

• Identifying data needs and driving data quality improvement projects

• Understanding the broad range of Amazon’s data resources, which to use, how, and when

• Thought leadership on data mining and analysis

Basic Qualifications

• 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

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

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.