Amazon is looking for a Business Intelligence Engineer to help build next generation metrics and drive business analytics for Selection. Our team owns models and systems that make selection decisions WW. As a Business Intelligence Engineer, you will be responsible for development of metrics for new products, new deep dive analytics tools as well as driving the strategy on data visualization for the group. You will own the development and support of key business metrics while continuing to raise the bar for creating scalable, efficient, and automated processes for large-scale data analysis.
This is a high-visibility cross-functional role where you will work collaboratively with Engineers, Applied Scientists, Economists, PMTs, Directors and business partners across functions. As part of the growing and fast paced business program, you will have freedom to innovate and deliver impact on customer experience.
This position requires excellent statistical and analytical abilities as well as deep knowledge of business intelligence solutions and data engineering practices. The successful candidate will be a self-starter comfortable with ambiguity, possess a strong attention to detail, and able to collaborate with customers to understand and transform business problems into requirements and deliverables.
To help describe some of our challenges, we created a short video about Supply Chain Optimization at Amazon - http://bit.ly/amazon-scot
Key job responsibilities
- Write expert-level SQL that extracts actionable insights from some of the world’s largest datasets
- Dive deep to help drive key business decisions through data insights and improve a wide range of internal products
- Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks
- Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers
- Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
