The Modeling and Optimization (MOP) team uses mathematical optimization, algorithm design, statistics, and machine learning to improve decision-making capabilities across WW Operations and Amazon Logistics. The team focuses on transportation topology, labor and resource planning for fulfillment centers (FC), routing science, visualization research, data science and development, and process optimization. We create models to simulate, optimize, and control the fulfillment network with the objective of reducing cost while improving speed and reliability. We support multiple business lanes, therefore maintain a comprehensive and objective view, coordinating solutions across organizational lines where possible.
We are seeking a talented Business Intelligence Engineer. In this role you will have broad knowledge of our analytical tools and will create reporting and analysis of key business metrics to drive business insight. You will write strategy papers to influence executive decision-making. You will Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership or to business customers to support their regular or ad hoc requests. You will work closely with the software development teams, research and data science team members to ensure we are capturing and surfacing the right data and information to make optimal business decisions as we iterate on this new technology. You will also collaborate with senior leadership to track progress against goals.
The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross functional teams in a fast paced environment and highly ambiguous work space.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.