When you order from Amazon, your item gets put into a box and then handed off to our team, Sort Tech, to sort it into containers that are then loaded onto trucks or airplanes and routed through our transportation network towards your home. Packages often travel through multiple Amazon buildings before they arrive at your doorstep. Sort Tech builds the software within these buildings to automate and orchestrate the sorting of millions of packages every day at lightning speed to ensure they reach customers' doorsteps when promised. Our mission is to build the most efficient and optimal transportation system on the planet using our engineering muscle as our biggest advantage. And we need your data expertise to help us do it!
We are looking for a Sr. BI Engineer to join our Sort Tech Labor team to help us introduce ambitious new labor management automation programs to make key real-time decisions that will help Amazon ship packages faster to customers and at lower cost than ever before. As part of this team you will work with executive leaders, engineering, product, science, and operations stakeholders to use data to uncover insights, generate ideas, validate entitlement, partner with engineering teams to use data to guide iterative product development, run randomized controlled trials, develop robust metrics, and quantify impact. 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. You will be employed by a giant company, yet feel like you are a part of a small startup team working fast to innovate and make incredible things happen at "Amazon scale".- 5+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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 $117,300/year in our lowest geographic market up to $202,800/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.
