Business Intelligence Engineer

Join an innovative team utilizing machine learning and statistical techniques to develop cutting-edge solutions that enhance Amazon's customer value. This role involves building and deploying advanced ML systems to optimize millions of daily transactions. You will analyze and model terabytes of data to solve real-world problems, owning end-to-end business challenges and directly impacting company profitability. If you are passionate about innovation and simplification, consider joining the Machine Learning team for India Consumer Businesses.

Machine Learning and Big Data are core to Amazon's strategy, with pioneering work in recommendation engines, fraud detection, and operational optimization. As Amazon grows, the application of machine learning expands significantly, offering opportunities to improve customer experience, reduce costs, and drive automation across diverse areas like product recommendations, financial transaction security, catalog quality improvement, and address validation.

The International Machine Learning Team focuses on developing state-of-the-art ML solutions for India and other emerging markets (MENA, LatAm), directly impacting business growth and profitability. Working within this team provides the unique blend of a dynamic startup environment eager to adopt ML solutions and the scale of a mature organization to support development. You will collaborate with talented individuals on impactful, real-world ML problems that benefit millions of customers. Thought leadership and creative thinking in ML are highly encouraged.

Key Responsibilities: As a Business Intelligence Engineer (BIE) within the India Machine Learning team, you will construct and manage data systems essential for one of the world's most complex and rapidly scaling supply chains. You will work extensively with large-scale distributed datasets and AWS technologies like Redshift. Collaboration with cross-functional teams will be crucial to ensure data accuracy, timeliness, compliance, and readiness for high-impact decision-making across Amazon Business.

About The Team: The International Machine Learning Team is dedicated to creating novel ML solutions tailored to address India-first challenges and emerging markets, driving both top-line and bottom-line growth for the India business. Learn more about our team's work at https://www.amazon.science/working-at-amazon/how-rajeev-rastogis-machine-learning-team-in-india-develops-innovations-for-customers-worldwide.

Basic Qualifications: Requires 2+ years of experience in analyzing and interpreting data using Redshift, Oracle, NoSQL, etc. Proficiency in data visualization tools such as Tableau, QuickSight, or similar is essential. Experience with analytical visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared) is expected. Familiarity with a scripting language like Python, Java, or R is also required.

Preferred Qualifications: A Master's degree or an advanced technical degree is preferred. Knowledge of data modeling and data pipeline design is beneficial. Experience with statistical analysis and correlation analysis is a plus.