Business Intelligence Engineer, Prime Video Analytics

About Prime Video & Amazon MGM Studios

Prime Video's technology, marketing, and operations teams are creating the best-in-class digital video experience. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll 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 India's 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

• 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.
• Translate complex datasets into actionable data visualizations.

Basic Qualifications

• 1+ 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).

Preferred Qualifications

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

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Key skills/competency

• Business Intelligence
• Data Visualization
• SQL
• Tableau
• QuickSight
• Data Analysis
• Metrics
• Reporting
• Data Pipelines
• Customer Insights