Amazon
BI Engineer, Prime Data Engineering and Anaytics
Amazon, San Francisco, California, United States, 94199
BI Engineer, Prime Data Engineering and Anaytics
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 QuickSuite 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 Responsibilities
Own design and execution of end-to-end projects
Own managing worldwide 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
Basic Qualifications
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 (e.g. Excel, Tableau, QuickSight, 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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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 QuickSuite 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 Responsibilities
Own design and execution of end-to-end projects
Own managing worldwide 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
Basic Qualifications
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 (e.g. Excel, Tableau, QuickSight, 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr