What are the responsibilities and job description for the Business Intelligence Engineer, Middle Mile Planning and Optimization (MMPO) position at Amazon?
DESCRIPTION
Do you want to lead the journey of building the next-gen 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.
Amazon's 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 execution. You’ll work in a fast-paced environment and will be required to lead not only at the strategic level, but also tactically day-to-day by diving deeply into business and technical domains. As a multi-discipline leader, the buck will stop with you - you will work as part of the engineering organization.
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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 large-scale, 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.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Salary : $89,600 - $185,000
