Business Intel Engineer
Amazon.com
We are looking for a high caliber and tested Business Intelligence Engineer (BIE) to drive analytics with high exposure to VP and SVP level business decision making support. In this role you will define scalable processes and deep dive into the product and program metrics globally across multiple business units. You will apply both business and technical acumen in a fast-paced, ambiguous and innovative environment. Our ideal teammate possesses a natural curiosity, sharp analytical skills.
Key job responsibilities
Write complex SQL code that extracts actionable insights from some of the world’s largest datasets
Dive deep to help drive key business decisions through data insights and improve a wide range of internal products
Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks
Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers
Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Key job responsibilities
Write complex SQL code that extracts actionable insights from some of the world’s largest datasets
Dive deep to help drive key business decisions through data insights and improve a wide range of internal products
Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks
Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers
Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
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