Join Amazon's Prime Data Engineering & Analytics (PDEA) team as a Business Intelligence Engineer (BIE) to revolutionize how we understand, measure and serve our global Prime customer base. You'll architect and build enterprise-level data analytics solutions, including scalable ETL pipelines, automated AI powered reporting systems, and self-service analytics platforms that process petabytes of data daily across multiple dimensions. Working with technologies like AWS, Apache Kafka, Spark, and modern AI/ML tools, you'll create data analysis products that power critical decision-making across Amazon.

• Own design and execution of end to end projects
• Own managing WW Prime data infrastructure
• Establish key relationships which span Amazon business units and Business Intelligence teams
• Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting to meet or exceed SLAs

• 1+ 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 (eg, Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (eg, t-test, Chi-squared)
• Experience with Scripting language (eg, Python, Java, or R)

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.