At Amazon Supply Chain we power the worlds fastestgrowing ecommerce business and embrace the mission of being Earths most customercentric company. As our business continues to expand the customer fulfillment operations become larger and more complex each year.
The Network Sales and Operations Planning (S&OP) team forecasts all inventory flows across the entire North America Fulfillment network. We manage everything from what Amazon receives from vendors and sellers to what it ships from our Fulfillment Centers (FCs). The network S&OP forecast is the starting point of a weekly planning process spanning first middle mile last mile and defining the amount of resources (trucks labor) that need to be secured to ensure we fulfill our customer orders at the highest speed best quality lowest cost and least carbon intensity as possible. We partner closely with Supply Chain Optimization Technology (SCOT) teams in North America and internal tech stakeholders across Transportation Labor Planning and Finance teams to reconcile bottomup and topdown inputs to build analytical forecasts which are accurate and provide valuable insight. We also partner with Supply Chain (SCE) teams as well as Science partners to define the optimal allocation under constraints of volumes across the 9 Regions of the US fulfillment network.
We are now seeking a Business Intelligence Engineer to be part of a 23 person analytical group within the network S&OP team. This is a Day 1 opportunity to be part of an entrepreneurial and pioneering team building from the ground up. You will research forecasting techniques deep dive existing data sources to build new models to improve forecasting accuracy. You will also develop data solutions and advanced visualization techniques to offer forecast analysis to senior stakeholders (up to SVP). You will collaborate with business product management and engineering teams to drive progress. Key job responsibilities
Develop new forecasting models Build advanced visualization solutions to allow business and tech stakeholders to deep dive and understand the teams forecasts. Collaborate across multiple teams to ensure alignment with business goals and objectives.
Bachelors Degree Experience analyzing and communicating results to senior leadership Experience working directly with business stakeholders to translate between data and business needs Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience programming to extract transform and clean large (multiTB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience with AWS technologies
Experience with statistical analytics and programming languages such as R Python Ruby etc. Experience using Cloud Storage and Computing technologies such as AWS Redshift S3 Hadoop etc. 3 years of SQL experience Masters degree in statistics data science or an equivalent quantitative field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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