Overview
SCOT works on the most difficult problems in the industry. To maintain Amazon's leadership in the industry, SCOT fosters continuous improvement, advocating game‑changing ideas that create ever more intelligent and self‑learning systems to maximize the efficiency, automation and scale of Amazon's massive supply chain operation. We are looking for a Business Intelligence Engineer III to develop new models to drive improvements in S&OP accuracy, automation, and plan optimality - partnering with teams across SCOT.
Responsibilities
* Develop analytical solutions to business problems that utilize the highest standards of analytical rigor and data integrity
* Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
* Write high quality code to retrieve and analyze data
* Analyze and solve business problems at their root, stepping back to understand the broader context
* Design pragmatic analyses and automated metrics that add value to your business area
* Understand data resources and how, when, and what to use (and what not to use)
* Develop analyses (whether fully formed or exploratory) for the business' sake, not for analyses' sake
* Seek to understand the business objectives relevant to your area, and align your work to those objectives and seek to deliver business value
* Proactively and continually improve your level of knowledge about Amazon's business and relevant data resources
Qualifications
* Experience programming to extract, transform and clean large (multi‑TB) data sets
* Experience with the theory and practice of design of experiments and statistical analysis of results
* Experience with AWS technologies
* Experience in scripting for automation (e.g. Python) and advanced SQL skills
* Experience with theory and practice of information retrieval, data science, machine learning and data mining
* Experience working directly with business stakeholders to translate between data and business needs
* Experience with SQL, data visualization using Tableau, Quicksight, or similar tools
* Experience in the data/BI space and in data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures and hands‑on SQL coding
* Experience with advanced Excel, MySQL
* Experience prioritizing and handling multiple assignments while maintaining commitment to deadlines, in a fast‑paced, high‑tech environment
* Experience completing complex tasks quickly with little to no guidance and reacting with appropriate urgency to situations that require a quick turnaround
* Experience in ownership of projects, communicating timelines and executing independently
* Experience communicating and presenting to senior leadership
* Experience creating reports, interpreting metrics and driving overall insights or analysis
* Experience managing, analyzing and communicating results to senior leadership
* Knowledge of industry analytics visualization tools such as Excel, Tableau, AWS QuickSight, MicroStrategy, PowerBI, and statistical methods such as t‑test or Chi‑squared
* Experience in project/program management, supply chain, and/or inventory management
Equal Opportunity Employer
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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