Do you want to lead the journey of building the nextgen global transportation network using intelligent routing algorithms & systems that power the delivery of packages Are you up for this challenge We are looking for a Business Intelligence Engineer that will lead the innovation and exploration that would drive the future of Middle Mile Transportation at Amazon.
Amazons Middle Mile Transportation Technology team is chartered with building complex software solutions that work across our vendors warehouses and carriers to optimize both time & cost of getting the packages delivered. Our services already handle thousands of requests per second make business decisions impacting billions of dollars a year integrate with a network of small and large carriers owner operators and drivers worldwide manage business rules for millions of unique products and improve ordering and delivery experience for millions of online shoppers.
Our mission is to build the most efficient and optimal transportation solution on the planet using our technology and engineering muscle as our biggest advantage. We aim to leverage advanced technologies in big data machine learning and optimization techniques and operate high volume low latency and high availability services.
As part of this team you will work with executive leaders engineering science and operations stakeholders to drive process improvement generate ideas validate entitlement and then produce a path to production. You will define product strategy develop the product development roadmap and drive . Youll work in a fastpaced environment and will be required to lead not only at the strategic level but also tactically daytoday by diving deeply into business and technical domains. As a multidiscipline leader the buck will stop with you you will work as part of the engineering organization.
3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience Experience with data visualization using Tableau Quicksight or similar tools Experience with data modeling warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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