Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization organization is for you.
Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot
The Buying team is part of Amazon's Supply Chain Optimization Technology / Inventory Planning and Control organization, and is responsible for deciding how much inventory to carry of every single item offered by Amazon Retail on all of Amazon's websites worldwide. Consuming inputs including demand forecasts, placement options, and vendor capability data, our buying system automatically computes the optimal inventory levels and re-order quantities for every single item in our Retail catalog every single day.
As a Data Analyst in Buying, you will operate at the apex of multiple advanced Amazon systems, getting global visibility of how Amazon functions and serves our customers. Your curious mind will enable the creation of solutions that drive ever-greater automation, scalability and optimization of every aspect of buying, removing cost and delivering speed of execution to thrill our customers. The impact of your work will be global, material and remarkable.
What you'll do:
As a successful Business Intelligence Analyst in Buying, you need to be voraciously curious about Amazon's supply chain operations and how data consumed and produced by our systems can be used to improve outcomes and lower costs. Your responsibility is to expose and measure the current performance of our Buying system, find and quantify opportunities for improvement, and dive deep into existing data to root cause unexpected performance. You will collaborate with engineering, research, data science and business teams for future innovation. You need to be a sophisticated user of data querying tools, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.
Major responsibilities include:
Translate / Interpret:
Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.
a. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
b. Explore/analyze data and work with Research Scientists, Data Scientists and Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers
c. Partner with Data Engineers and Software Engineers to design products and systems to transform and store billions of data items using AWS redshift.
Given anecdotes about anomalies, design strategies to quantify the overall impact of such anomalies, deep dive to explain why they happen, and identify fixes.
Make Decisions or Recommendations
Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.
Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Amazon is a company operating a marketplace for consumers, sellers, and content creators.