Are you interested in shaping the future of entertainment? 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 Japan is seeking a Business Intelligence Engineer to drive customer insights for the PV Japan BI team. As a Business Intelligence Engineer, you will generate insights that support Prime Video Japan and SEA/MENA'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
• 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.- Bachelor's degree in statistics, business analytics, data analytics, data science, computer science or related field
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- 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)
- Speak, write, and read fluently in English
- Speak, write, and read fluently in Japanese- Master's degree, or Advanced technical degree
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Experience with statistical analysis, co-relation analysis
- Experience with scripting language (e.g., Python, Java, or R)
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