BIE II (Amazon Now)

Are you passionate about building business insights that drive decision making at the highest levels Do you want to be a part of a fastpaced ambiguous environment and contribute to Amazon Now charter

Key job responsibilities
As a business intelligence engineer you will/may:
* Be highly data driven resourceful customerobsessed and team oriented
* Design develop and implement scalable automated processes for data extraction processing and evaluation
* Define data driven approaches and metrics strategy to uncover new insights
* Have a passion for sourcing manipulating and visualizing data to tell business stories
* Be able to clearly communicate strategic findings and recommendations
* Translate complex technical concepts into business terms and vice versa
* Work with engineering and data teams to support the development of tools and dashboards



Key job responsibilities
3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualization using Tableau Quicksight or similar tools
Experience with data modeling warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets

3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualization using Tableau Quicksight or similar tools
Experience with data modeling warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets

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