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Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.As a Sr Business Intelligence Engineer on the Ads CX team, you will drive decision-making by transforming advertising data into insights. In this role, you will collaborate with Product Managers, Engineers, and Program Managers to provide analytical support, using statistical techniques and data visualization tools to uncover patterns and metrics.You'll be responsible for developing data models, creating dashboards, and delivering recommendations that help optimize advertising strategies and user experiences across streaming platforms.
Key job responsibilities
· Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs
· Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions
· Be able to swiftly prioritize and multi task based on severity level and strong business judgement.
· Partner with Product Managers, Engineers, and Program Managers to design reports and analyses which answer important business questions.
· Identify new opportunities to improve our Fashion Ads CX on Prime Video based on data insightsAbout the team
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. 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.
- Experience programming to extract, transform and clean large (multi-TB) data sets
- 5+ years of SQL experience
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
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