Business Intelligence Engineer

Job Description

Join an innovative team of scientists leveraging machine learning and statistical techniques to create cutting-edge solutions that deliver superior value to Amazon's customers. You will build and deploy advanced ML systems to optimize millions of daily transactions and analyze terabytes of data to solve real-world problems. This role offers the opportunity to own end-to-end business challenges, directly impact company profitability, and drive innovation and simplification. If you are passionate about applying machine learning to critical business areas like product recommendations, financial transaction safeguarding, catalog quality improvement, and address enhancement, this role is for you.

Machine learning and big data are central to Amazon's strategy, with pioneering work in recommendation engines, fraud detection, and fulfillment center optimization. The increasing scale and diversification of Amazon have expanded the application of machine learning significantly, improving customer experience, reducing costs, and driving automation.

We are developing state-of-the-art machine learning solutions to accelerate Amazon India's growth. As a machine learning practitioner at Amazon India, you will experience the agility of a startup combined with the resources of a mature organization. You'll collaborate with talented individuals focused on solving impactful real-world machine learning problems that benefit millions of customers. We foster thought leadership and encourage innovative thinking in ML.

Key Job Responsibilities

As a Business Intelligence Engineer (BIE) within the International Machine Learning (INML) team, you will construct and manage data systems crucial 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 such as Redshift. Collaboration with cross-functional teams will be essential 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 developing novel ML solutions that address challenges specific to India and other emerging markets (MENA, LatAm), driving both top-line and bottom-line growth. Learn more about our team's innovations at https://www.amazon.science/working-at-amazon/how-rajeev-rastogis-machine-learning-team-in-india-develops-innovations-for-customers-worldwide.

Basic Qualifications

• Minimum of 2 years of experience in analyzing and interpreting data using technologies such as Redshift, Oracle, or NoSQL databases.
• Proficiency in data visualization using tools like Tableau, Quicksight, or similar platforms.
• Experience with industry-standard analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared).
• Experience with scripting languages such as Python, Java, or R.

Preferred Qualifications

• Master's degree or an advanced technical degree.
• Solid understanding of data modeling and data pipeline design.
• Experience with statistical analysis and correlation analysis.

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.