Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of e Commerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and growing fraud threats?
Do you enjoy working in an entrepreneurial, fast paced environment, solving complex problems and delivering innovative solutions? Do you like to innovate and simplify?

Our mission in Trust Operations is to make Amazon.com the safest place to transact online. Trust Operations safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, we design and build the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com.

As a Business Intelligence Engineer in the Forecasting Planning & Research (FPR) team within Trusted Shopping Experience (TSE) Operations, you will be responsible for building and scaling the forecasting platform that powers operational planning across the organization. You will design and develop data pipelines, implement ML model deployment frameworks, and create AI-powered tools including chatbots, web applications, and automation solutions that reduce time to forecast and improve operational efficiency.

You will collaborate with Data Scientists, Analytics teams, and cross-functional partners to productionalize forecasting models, implement event-driven architectures, and build monitoring systems that detect forecast deviations early. You should be proficient in working with Redshift, AWS S3/Glue, Sage Maker and Quick Suite to answer high-impact business questions and proactively present insights through dashboards and automated reports.

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, Quick Sight, 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

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.