Are you interested in shaping the future of entertainment Prime Videos technology marketing and operations teams are creating the best-in-class digital video experience. Youll get to work on projects that are fast-paced challenging and varied. Youll also be able to experiment with new possibilities take risks and collaborate with remarkable people.
Prime Video APAC and ANZ team is seeking a Business Intelligence Engineer to drive customer insights for the PV APAC and ANZ analytics team. As a Business Intelligence Engineer you will generate insights that support Prime Video Indias content programming marketing and marketplace lines of business.
The successful candidate will be a self-starter who is comfortable with ambiguity and large data sets. They will have strong attention to detail and an ability to work in a fast-paced and entrepreneurial environment. They will have strong SQL skills experience building visual dashboards and the ability to clearly communicate information to business stakeholders.
Key job responsibilities
Strong interest and ability to take complex datasets and boil them down to actionable data visualizations.
Own the design development and maintenance of ongoing performance dashboards metrics reports analyses etc. to drive key business decisions.
Build scalable efficient and automated data processes to inform business decision making.
Proactively develop new metrics and studies to quantify customer behavior and reduce customer churn.
- 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 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 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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