M+E Technology Job Board

Sr. Business Intelligence Engineer

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Do you want to take an active role in shaping the future of movies, television, and digital video? Do you want to define the next generation of how and what Amazon customers are watching? Amazon Video Direct (AVD) recently launched a platform that enables video providers to effortlessly distribute their content to reach millions of Amazon customers on the Amazon Video service. We’re a high energy, fast growth business excited to have the opportunity to shape new ways for content providers to reach their audiences. We need your passion, innovative ideas, and creativity to help continue to deliver on our ambitious goals.

The Product Analytics team for Amazon Video Direct is seeking a highly analytical, curious, resourceful, and experienced Business Intelligence Engineer to develop new insights and products for video providers. This is a new team that will be responsible for defining, designing, and building a powerful new platform that enables Amazon Video providers to gain new insights into their audience and content engagement metrics.

You will have a passion to dive deep, a high level of customer focus and a track record in process improvement. The analyst will have technical skills, project management skills and the ability to multi-task and thrive in an energizing environment.


· Bachelor’s or advanced degree in Business, Computer Science, Information Science or related edu.
· Knowledge of fundamentals of database design and management.
· 5+ years experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex datasets.
· Experience in complex data analysis (model creation, what-if scenarios, A/B testing, etc.)
· Verbal/written communication & data presentation skills, including experience to effectively communicate with both business and technical teams


· MBA or Master’s Degree Information Science, Data Science or a related field preferred
· Experience on AWS Big Data technologies, like RedShift, S3, Aurora, Data Pipeline, QuickSight, Kinesis, etc.