Sr Business Intelligence Engineer Supply Chain Network Operations Technology Solutions - Supply Chain

Amazons Operations Technology Solutions Supply Chain (OTSSC) team is looking for a skilled supply chain network modeling engineer to help design and optimize our supplier operations and distribution network responsible for supplying technology equipment to Amazon operating facilities around the world. The role will involve understanding the physical and digital supplier distributor manufacturing and transportation processes from original equipment manufacturers to our operating facilities. As part of the Technology Fulfillment Services team you will combine supply chain modeling experience business process knowledge data expertise and analysis skills to identify and drive fulfillment capability improvement and capacity optimization throughout our endtoend fulfillment network. You will champion a technologybased supply chain architecture that seamlessly integrates the organizations selfoperated facilities thirdparty partners and customer sites to enable inventory availability cost efficiency and robust risk management.

Key job responsibilities
Develop supply chain network models on a quantitative basis using analysis tools and supply chain modeling and simulation software
Create digital mechanisms to perform supply chain network cost and time studies
Create analysis mechanisms to perform Whatif analysis for supply chain node location placements
Collaborate with sourcing and demand and supply planning teams to determine optimal locations for sources of supply
Collaborate with fulfillment and operations teams to determine optimal locations for operations and distributions facilities
Collaborate with risk management team to support supply chain network design needs in line with regulatory compliance and business continuity plans
Develop mathematical models for use by enterprise resource planning systems to perform least cost routing determination
Develop and maintain digital twin of the endtoend supply chain network


A day in the life
Youll collaborate with diverse stakeholders across multiple time zones diving deep into data and analytics to solve complex supply chain challenges. Your day might involve developing or refining network models analyzing global supply demand and operational data or preparing compelling presentations for senior leadership. Youll balance strategic thinking with practical implementation always keeping the customer experience at the forefront of your decisions.

Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment.

The benefits that generally apply to regular fulltime employees include:
Medical Dental and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you!

At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!

About the team
Our OTSSC Technology Fulfillment Services team is dedicated to delivering an exceptional endtoend global technology fulfillment experience to Amazon business units. Were passionate about development and deployment of innovative datadriven fulfillment architecture that places the customer experience at the forefront while driving operational excellence and cost optimization. Our work directly impacts millions of associates and customers making every day an opportunity to innovate and improve the way goods move around the globe.

5 years of endtoend supply chain network design using simulation modeling tools
5 year of experience with data scripting languages (e.g. SQL Python R or equivalent) or statistical/mathematical software (e.g. R SAS Matlab or equivalent)
Experience with statistical models e.g. multinomial logistics regression monte carlo simulations centroid analyses
Bachelors degree in Supply Chain Management / Engineering Discipline or Masters Degree in a highly quantitative field (Computer Science Mechanical Industrial Engineering Machine Learning Operational Research Statistics Mathematics etc.
Tools: Experience in Supply Chain Logistics and Distribution Simulation tools Arena FlexSim Simul8 AnyLogic SupplyChainGuru or similar simulation tools

Experience with big data technologies and ETL tools
Experience modeling and designing materials distribution and logistics networks both supply and demand sides
End to end supply chain modeling and design starting from raw materials flow to manufacturing capacity to finished goods to store and forward
Regional and cross border international logistics modeling
Inventory origination and placement strategies

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.