Overview
Application Skills
Application Category Skills
Description
Amazon’s Automated Inventory Management (AIM) team is looking for an experienced Business Intelligence Engineer to conceptualize, articulate, and develop state of the art technology to understand and measure the shopping experience of every Amazon customer. AIM is part of Amazon’s Supply Chain Optimization Technology (SCOT) organization, whose charter is to deliver the best possible customer experience while maximizing the return on our inventory investment, fulfillment assets, and transportation network in terms of long term free cash flow. We are never satisfied with the status quo and are convinced that there is always opportunity to innovate on behalf of customers.
We are seeking talented individuals who enjoy the challenge of diving into complex problems and developing new capabilities to improve customer experience.
Key job responsibilities
* You will be owning building of data and AI products that provide stakeholders across Amazon with deep insights to identify and resolve defects. - We own metrics, bridges, anomaly detection, insight generation and defect repair systems used by Senior leadership, stakeholders and business teams across entire Amazon e-commerce organization worldwide.
* You will need to develop deep technical and business understanding of existing system (owned by us as well as other teams across Amazon) as you will responsible for identifying synergies and minimizing investment in redundant features.
* You will work with supply chain operations teams, in-house scientists, other BI Engineers, and software teams to identify enhancement opportunities and new features for our data products.
* Successful candidates should excel at diving into data in order to analyze problems and implement simple, long term solutions.
* You must have experience and capability to document your work for technical as well as non-technical audiences.
* You will have the opportunity to thrive in a highly collaborative, creative, analytical, and fast-paced environment oriented around building the world’s most flexible and effective supply chain management technology.
Basic Qualifications
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
Preferred Qualifications
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.