
BI Engineer - AWS People Analytics
Business Intelligence Engineers (BIEs) are analytics professionals with end-to-end experience related to data problems and visualizations. They own BI systems, so should have a good working knowledge of engineering the back-end data framework, building visualizations on the front end, and working directly with business owners to help to interpret these insights. End to end expertise is not required, as BIEs will work directly with Data Engineers/Scientists, Product/Program managers and HR Business Partners to build products which will help shape the way that these systems are designed, operate, and how they are used. A strong sense of product ownership, alongside inclinations to collaborate with your team will ensure that the products you build will move the needle for ever-so-important people management decisions across AWS.
3+ Years of experience working with data in an analytical sense
1+ Years of programmatic preparation of data for direct use in visualization
1+ Years of ETL Management/Data Pipeline experience
Experience testing causal arguments against historical datasets a plus
Master’s Degree in technical or engineering field a plus
Sql
Tableau
Data Analytics
Time Management Skills
AWS QuickSight
ETL Management/Data Pipeline
Driven and self-motivated
Prioritizing skills
Flexibility/Adaptability
Attention to detail and accuracy
Verbal and Written Communication
Multi tasker
According to JobzMall, the average salary range for a BI Engineer - AWS People Analytics in 410 Terry Ave N, Seattle, WA 98109, USA is $99,658 - $117,845.
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Amazon.com, Inc., is an American multinational technology company based in Seattle, Washington, that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is considered one of the Big Four technology companies along with Google, Apple, and Facebook.

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