BI Engineer, AFT BI

Have you ever ordered a product from Amazon and been amazed at how fast it gets to you

Every day Amazon engineers are relentlessly working to decrease the time between Click to Deliver for your products. The Amazon Fulfillment Technologies (AFT) team owns all of the software and infrastructure which powers Amazons world-class fulfillment engine. Our team is building complex massive data systems to capture data during every step in the automated pipeline and use that data to proactively predict efficiency and cost improvements to deliver the packages fast to our customers.

We are currently in search of a brilliant self-driven and seasoned BIE II to join our this role you will have the opportunity to work on building scalable solutions including extensive data models and complex ETL pipelines and utilize your expertise to raise the bar on data timeliness discoverability and availability of the same.



Key job responsibilities
Own the development and maintenance of ongoing metrics reports analyses dashboards on the key drivers of our business
Partner with Product Managers and business teams to consult develop and implement KPIs automated reporting solutions and infrastructure improvements to meet business needs
Develop and maintain scaled automated user-friendly systems reports dashboards etc. that will support business needs
Perform both ad-hoc and strategic analyses
Strong verbal/written communication and presentation skills including an ability to effectively communicate with both business and technical teams.


- 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 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 large-scale complex datasets
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field

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