Business Intel Engineer II, IPC Simulation

Published date Posted on Indeed on May 13, 2022 (14 d ago)
  • Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience.
  • 2+ years of relevant experience in Business intelligence or business analytics.
  • 2+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.

Job summary
Job Description
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
In the center of SCOT is our IPC simulation team. We own one of the largest supply chain simulation systems in the world to predict inventory flows for the millions of items available on Amazon.com worldwide. Inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assigning to the best warehouse to fulfill customer demand to optimize long term free cash flow for Amazon. Our system lives at the heart of these algorithms, keeping up with the rapid pace of optimization improvements and simulating how they interact with each other. We simulate what these systems will do for months into the future, predicting inventory flows and key operational and financial metrics across the network. This experimentation platform is critical in understanding labor needs, managing our network capacity, and allowing continued optimizations to the many algorithms we simulate. Imagine enabling Amazon's supply chain systems to make data driven decisions based on simulations of trillions of inventory events per day.
We are hiring, and we are especially looking for Business Intelligence Engineers (BIE).

What you'll do:

As a Business Intelligence Engineer in SimEx, you will solve real world problems by analyzing large amounts of business data, defining new metrics and business cases, designing simulations and experiments, creating models, and collaborating with teammates in business, software, and research. The successful candidate will have a strong analytical background and can thrive in an environment that leverages statistics, machine learning, operations research, econometrics, and business analysis.

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.


  • Graduate degree (MS or equivalent) in Mathematics, Statistics, Operations Research, Economics or a related quantitative field
  • Understanding of Amazon technologies like DynamoDB, AWS, S3, EMR, ECS
  • Understanding of integration technologies like web services, messaging queues
  • Understanding of No-Sql and RDBMS database technologies
  • Experience with an AB testing framework
  • Experience with MapReduce concepts and Hadoop
  • Experience building large scale, high-performance systems in a complex, multi-tiered, distributed environment
  • Experience to guide engineers inside and outside the team for design
  • Experience with data mining, databases, and massively parallel systems

By submitting your application here, you can apply once to be considered for multiple BIE openings across various Amazon teams. If you are successful in passing through the initial application review and assessment, you will be asked to submit your career and personal preferences so that our dedicated recruiters can match you to the right role based on these preferences.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, visit https://www.amazon.jobs/en/disability/us.



Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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