Business Intel Engineer II, Delivery Choices Analytics and Research Team (DART)

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 II 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.



- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 2 years of Tableau Desktop Quicksight or other relevant data visualization software experience
- Bachelors degree or above in business administration finance economics computer science data science engineering or other related field or 2 years of Amazon RME (BB/3P) Full Time Exempt 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 using SQL (Structured Query Language) to pull data from a database or data warehouse
- Experience using Python scripting to process data for modeling

- Masters degree or above in BI finance engineering statistics computer science mathematics or equivalent quantitative field
- Knowledge of Microsoft Excel at an advanced level including: pivot tables macros index/match vlookup VBA data links etc.
- 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 large-scale complex datasets
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

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