Business Intelligence Engineer ROW SHARP

ROW Supply Chain Analytics team is looking for an innovative handson and customerobsessed Business Intelligence Engineer . Candidate must be detail oriented have superior verbal and written communication skills strong organizational skills excellent technical skills and should be able to juggle multiple tasks at once.

The BIE will bring innovation a strategic perspective a passionate voice and an ability to prioritize and execute on a fastmoving set of priorities competitive pressures and operational initiatives. You will partner closely with program product and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical able to work extremely effectively in a matrix organization and have the ability to break complex problems down into steps that drive product development at Amazon speed.

Key job responsibilities
data into digestible business intelligence and actionable information
high quality SQL codes to retrieve and analyze data.
with large data sets automate data extraction and build monitoring/reporting dashboard
with internal stakeholders to deepdive outlier events
and solve business problems with focus on understanding root causes and driving forwardlooking opportunities
complex analysis and insights to our stakeholders and business leaders both verbally and in writing.
effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
be open to learn and develop skillsets in the latest technologies and analytical techniques

Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
5 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with data modeling warehousing and building ETL pipelines
Experience with data visualization using Tableau Quicksight or similar tools
Experience with forecasting and statistical analysis

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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