Amazon Business Intelligence Engineer Project Kuiper Production Operations 

United States, Washington, Redmond 

676596300

As the Business Intelligence Engineer for the Operations Program Management team you will develop and implement ideas that drive continuous improvement and streamline production of our satellite technology.Key job responsibilities
• Work closely with multiple production teams to understand their challenges and provide data/analysis for better decision making. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
• Learn and understand a broad range of Kuiper’s data resources and know how, when, and which to use.
• Assist in the development of key metrics and performance indicators to measure overall performance and provide foundation for continuous improvement.
• Build self-service reporting platforms, establishing automated processes for large scale data analysis.
• Understand and write high quality queries to retrieve and analyze data (ongoing reporting and adhoc requests).
• Define analytical approaches and metrics strategy to uncover new insights and formulate recommendations that improve productivity.
• Manage the local data infra-structure, and develop scalable solutions for data storage.
• Simplify and automate reporting solutions.Export Control Requirement:
A day in the life
You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. Along the way, we guarantee that you will learn a lot, have fun and make a positive impact on millions of people.

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis