At Amazon Delivery Choices (DC) under Amazons Delivery Experience (DEX) organization is chartered to offer our Retail customers with alternatives to fast delivery options by addressing their needs for control choice sustainability and the convenience of receiving items together.
You will join a highly technical and entrepreneurial culture defining and building the next generation of software solution for the DC products and launching them in every Amazon store worldwide.
Are you customer obsessed data oriented technologically curious and passionate about driving improvements to Amazon customer experiences Amazon is seeking an experienced talented and motivated BIE Manager to join our team focused on driving new and improved customer experiences across Amazons businesses globally.
Our DEX Delivery Choices (DC) team is seeking a skilled and motivated Business Intelligence Engineer (BIE) Manager to analyze and deliver insights to help us better serve customers. The right candidate is passionate about understanding customer needs perceptions and experiences diving deep into complex problems and continuously striving to deliver deeper insights. The person in this role will innovate build new methodologies to generate insights and make recommendations to drive actions that directly impact our current and future customers. A successful candidate will possess excellent analytical skills and have the ability to work collaboratively to influence business leaders at all levels including senior management.
- 7 years of business intelligence and analytics experience
- 5 years of delivering results managing a business intelligence or analytics team including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with R Python Weka SAS Matlab or other statistical/machine learning software
- 4 years of working with very large data warehousing environment experience
- 10 years of data warehouse technical architectures data modeling infrastructure components ETL/ ELT and reporting/analytic tools and environments data structures and hands-on SQL coding experience
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