Website Amazon
DESCRIPTION
Fulfillment Exception Management (FXM) within the SCOT organization Seattle team, is looking for an experienced Business Intelligence Engineer. This group owns the systems that orchestrates services involved in the fulfillment process from the time the orders are assigned to fulfillment until they are ready to be packed and shipped to our customers. Our systems cover a wide range of business and technology areas including inventory management, workflow management, shipment creation, load balancing, and availability.
This is a high-impact space packed with challenging problems involving very complex systems and smart people – our systems handle the fulfillment of all customer orders that are sold on Amazon & merchant websites. This is a unique chance to become an owner of part of Amazon’s business-critical fulfillment pipeline!
Responsibilities include:
· Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis
· Transform complicated business problems into mathematics modeling and provide data-driven solutions
· 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
· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
· 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.
Watch this video to learn more about our organization: http://bit.ly/amazon-scot
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
BASIC QUALIFICATIONS
· BA/BS degree in computer science engineering, economics, statistics, mathematics, econometrics, or a similar quantitative field
· 5+ years work experience in data mining and analysis
· Proven analytical and quantitative skills
· Experience with scripting languages and functional programming (Python, R)
· Proficiency in statistical software such as R, S-plus, SAS, STATA
· SQL expert with prior success working with extremely large data sets
· Working familiarity with industry standard data analysis and presentation tools
· Prior experience in design and execution of analytics projects
· Demonstrated ability to directly partner with business owners to understand requirements
· Demonstrated ability to work with technical teams to deliver accurate and scalable reporting and analytics solutions
· Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills
· Detail-oriented with an aptitude for solving unstructured problems
PREFERRED QUALIFICATIONS
· MS degree or higher in computer science engineering, statistics, mathematics, econometrics, or a similar quantitative field
· Experience applying machine learning, statistical modeling or related analytic techniques
· Experience with web development/automation