Business Intelligence Engineer EU Supply Chain Engineering

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 get an opportunity to work on new crossfunctional initiatives that are exploratory in nature. You will also get a chance to expand your domain knowledge within Supply Chain optimization along with opportunity to further upskill your technical skills working close to 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 give an unique view into Amazon Inventory Placement systems processes and operations enabling collaboration with planning operations and technical teams. Our system will be built entirely inhouse in partnership with SCOT will use best technology for automating largescale business planning and optimization decisions. EU Placement is proud to be on 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 research scientists in the industry.

Additional knowledge of programming languages like Java Python & AWS tools is preferable.

This role will be of your interest if:

You are a selfstarter and like to architect systems involving large scale data processing components and Machine learning/economic and optimization models workflow orchestration..
You like to work on innovative & impactful initiatives $100M savings) with faster growth.
You effectively articulate technical challenges and solutions to nontechnical audiences.
You like to experiment with whatever technology needed to get the job done.
Like the unique opportunity to work in engineering team while staying close to the business side of the problem.
Use TestDriven Development and Continuous Deployment.
Expand and optimize our supply chain systems to support a variety of emerging business initiative

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 its impact and respective prioritization.
Conduct data driven experiments to accelerate innovation.
Perform analysis at scale with new metric cuts and/or statistical models.

Bachelors 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

Masters 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.

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