Are you passionate about building foundational technology that transforms how the world's largest e-commerce company manages its supply chain? At Amazon's SCOT Inbound Systems organization, we believe replenishment is a foundational lever for delivering customer trust, improving operational efficiency, and accelerating Amazon's flywheel at scale. We are seeking a Sr. Business Intelligence Engineer to lead our vision of creating a globally extensible, intelligent supply chain platform.
Our team leads the unification of replenishment logic and systems across Amazon's Grocery and Core domains. We specialize in Amazon's hub-and-spoke replenishment model, optimized for regional networks serving high-velocity, in-stock-sensitive inventory. Our systems enable sophisticated capabilities including multi-stop routing, temperature- and bin-specific placement, packaging-aware allocation, and truck-level planning that accounts for time zone constraints and cross-temperature fungibility.
The successful candidate will have strong quantitative data mining and modeling skills and be comfortable working on new and sometimes ambiguous problems from concept through to execution. They will have strong communication and leadership skills, will be able to collaborate with other teams (e.g. software development, business owners, product managers) and to present findings to senior audiences to drive business improvements. As well we expect this candidate to raise the bar on any of the following categories: Data Warehousing, Data Architecture, Performant Self Service Toolsets and Data analytics. Candidate might be willing to work with the others BIEs in order to solve organizational problems at scale and setting the grounds of a healthy data products offer while delivering what is required by business.
Key job responsibilities
- Performing complex analysis to understand the behavior of grocery supply chain systems, identify the root cause of system / process issues and provide insight on potential solutions.
- Building audits (analytical products) to identify trend breaks or defects at scale for millions of products and multiple marketplaces globally
- Assessing the end-to-end suite of audits and identifying opportunities for enhancements and simplification, working with other audit owners
- Creating new solutions to automate the business process of identifying and resolving defects (e.g. through metric dashboards and automated alarms, self service dashboard, Single source of truth tables)
- Supporting the improvement of the automated audit workflow system: integrating new audits and providing input on the future developments/roadmap
- Developing dashboards and insight products
- Fostering culture of continuous engineering improvement through blueprints, mentoring, feedback, and metrics- 5+ years of SQL experience
- 5+ years of professional or military experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with AWS technologies
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience with theory and practice of design of experiments and statistical analysis of results- 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.
