Business Intelligence Engineer

The JP Economics and Decision Science team at Amazon is seeking a Business Intelligence Engineer to join their central science team. This role sits at the intersection of data science, business analytics, and software engineering, working on critical challenges across Amazon's retail business. The team focuses on solving complex, long-term problems in areas including pricing, product selection, delivery speed, profitability, and customer experience.

As a Business Intelligence Engineer, you'll collaborate with scientists to build statistical and ML models while working directly with senior leaders to tackle critical business problems. The role involves heavy use of SQL, Python, and AWS technologies to handle large-scale data processing and analysis. You'll be responsible for developing complex data pipelines, conducting sophisticated data analysis, and translating findings into actionable business insights.

The ideal candidate brings 8+ years of analytical experience with strong technical skills in SQL, Python, and data processing. You should have a deep understanding of experimental design, statistical analysis, and machine learning principles. Experience with AWS technologies and handling multi-TB datasets is essential.

This position offers the opportunity to drive significant business impact through data-driven decision making at one of the world's largest e-commerce companies. You'll work alongside talented scientists and directly with business stakeholders to solve challenging problems that affect millions of customers. The role provides excellent growth opportunities and the chance to mentor others while working on cutting-edge data science applications.