BI Engineer, Prime Data Engineering and Anaytics

Description  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.

As a BIE, you'll be instrumental in defining and implementing key business metrics, building efficient dimensional data models, and leveraging advanced AI technologies like Quick Suite and ML-powered analytics. You'll design intuitive self-service platforms that enable business users to independently explore data, discover insights, and create automated reports. Beyond technical implementation, you'll lead end-to-end project execution, manage worldwide Prime core services data infrastructure, and establish key relationships across Amazon's business units.

This role offers the opportunity to provide technical mentorship, drive architectural decisions, and shape the future of Amazon Prime's data ecosystem, directly impacting millions of customers globally.

Key job responsibilities
Responsibilities
1. Own design and execution of end to end projects
2. Own managing WW Prime data infrastructure
3. Establish key relationships which span Amazon business units and Business Intelligence teams
4. Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting to meet or exceed SLAs
Basic Qualifications  - 1+ years of analyzing and interpreting data with Redshift, Oracle, No

SQL 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, Micro Strategy, 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

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