DESCRIPTION
The EU Supply Engineering team is expanding its team with new BIE roles to build world-class solutions supporting its customer fulfillment operations by making optimal inbound & placement decisions. You will have the opportunity to work on new cross-functional initiatives that are exploratory in nature, expanding your domain knowledge within Supply Chain optimization while further developing your technical skills by working closely with Software Developers & Applied Scientists.
Have you ever wondered how Amazon delivers so quickly, or if delivery speeds could improve even further? In Amazon Supply Chain, we drive innovation for our customers to enhance product availability and speed while reducing costs and carbon emissions. This role will provide a unique view into Amazon Inventory Placement systems, processes, and operations, enabling collaboration with planning, operations, and technical teams. Our system will be built entirely in-house in partnership with SCOT, utilizing the best technology for automating large-scale business, planning, and optimization decisions. EU Placement is proud to be at the forefront of thought leadership in the areas of Ideal Placement and Network Capacity Management and works with some of the best business intelligence engineers, software developers, product managers, and research scientists in the industry.
Additional knowledge of programming languages like Java, Python & AWS tools is preferable.
This role will be of interest if:
* You are a self-starter and like to architect systems involving large scale data processing components and Machine learning/economic and optimization models, workflow orchestration.
* You enjoy working on innovative & impactful initiatives ($100M+ savings) with faster growth.
* You can effectively articulate technical challenges and solutions to non-technical audiences.
* You like to experiment with whatever technology is needed to get the job done.
* You appreciate the unique opportunity to work in an engineering team while staying close to the business side of the problem.
* You utilize Test-Driven Development and Continuous Deployment.
* You aim to expand and optimize our supply chain systems to support a variety of emerging business initiatives.
Key job responsibilities:
* Build models & design systems that enhance Inventory Placement strategy for same-day business.
* Drive placement strategy improvements using data modeling and analysis to optimize inventory spread across Amazon facilities, enhancing selection and reducing customer delivery distance.
* Collaborate with technology teams to define key priorities to accommodate growing business needs and implement recommendations through new features and/or configurations.
* Research, develop, document, and present new opportunities to all levels of Supply Chain, Finance, Fulfilled By Amazon (FBA), and Retail leadership.
A day in the life:
* Collaborate with a diverse team of Business Intelligence Engineers, Data Scientists, Program or Product Managers, and Finance Analysts to develop effective metrics and analytical tools that address business goals.
* Partner with Business and Tech teams to prioritize impactful insights.
* Explore systems while performing anecdotes to understand concrete root causes.
* Scale findings from anecdotes to understand their impact and respective prioritization.
* Conduct data-driven experiments to accelerate innovation.
* Perform analysis at scale with new metric cuts and/or statistical models.
BASIC QUALIFICATIONS
* Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance, or equivalent quantitative field.
* Experience in the data/BI space.
* Experience with SQL.
* Experience with data visualization using Tableau, Quicksight, or similar tools.
* Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business.
* Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
PREFERRED QUALIFICATIONS
* Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance, or equivalent quantitative field.
* Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
* Experience in software development utilizing programming languages such as Java or Python.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (here) to know more about how we collect, use and transfer the personal data of our candidates.
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 here for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
#J-18808-Ljbffr