Business Intelligence Engineer, Prime Video International Finance Analytics

Come build the future of entertainment with us. Are you interested in shaping the future of movies and television Do you want to define the next generation of how and what Amazon customers are watching

Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you please read on.

The Prime Video Finance Analytics team is looking for an experienced Business Intelligence Engineer. The team is embedded within finance alongside content and business finance partners we own the single-source-of-truth metrics layer that serves both finance and business leadership. Working across AWS technologies youll deliver self-service analytics business insights and reliable ETL/ELT workflows. Youll work closely with global business partners and technical teams on many non-standard and unique business problems and use creative problem solving to deliver analytics solutions that underpin Prime Video strategic decision making from content selection to on-platform customer experience.

As an experienced member of the team in this role you will:
- Work with business finance and other BIEs and leadership to identify data needs and requirements
- Generate and present concrete and actionable insights and recommendations for leadership based on sound methodological analysis
- Communicate analysis results and techniques both verbally and in writing clearly and confidently to peers and business partners
- Build mechanisms to surface knowledge and learnings about to the business
- Recognize and adopt best practices in reporting/analysis; write quality code to retrieve and analyze data
- Set up and maintain self-service infrastructure (e.g. dashboards) for the team using data visualization solutions (e.g. QuickSuite)
- Lead large scale data and analytical projects that help scale the business across Prime Video International and Worldwide

- Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
- 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 (Structured Query Language) to pull data from a database or data warehouse
- Experience in the data/BI space

- 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

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