Do you want to drive business impact through datadriven insights and analytics Are you passionate about transforming complex business questions into actionable insights Do you enjoy working with stakeholders to solve challenging business problems
At Amazon we hire the best analytical minds to innovate and drive business growth on behalf of our customers. The focus we have on our customers is why we are one of the worlds most beloved brands customer obsession is part of our company DNA. Our Business Intelligence Engineers (BIEs) use advanced analytics and visualization tools to provide critical insights that shape business decisions.
As a BIE in CBACRM team you will:
Lead business review preparations by analyzing trends and providing datadriven recommendations Execute deepdive analyses for migration initiatives integrating findings into Amazonwide tools Perform detailed postexperiment analysis to measure impact and guide future strategies Create and maintain comprehensive dashboards that drive key business decisions
We are looking for individuals who can translate complex data into clear actionable insights while managing ambiguity and the pace of a company where decisions are datadriven and timesensitive. If you are passionate about using data to drive business growth and customer satisfaction apply and come chart your own path at Amazon.
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 Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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