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A leading company seeks a Senior Financial Analyst to join their Prime Video Finance team in Seattle. The successful candidate will drive financial planning and analysis while collaborating with Product and Business teams to enhance customer experience through data-driven insights. If you have a strong finance background and love video entertainment, this role is for you!
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Join to apply for the Senior Financial Analyst, US Prime Video Finance role at Amazon
Description
We are looking for a Finance leader who loves video entertainment and wants to work directly with Product and Business leaders on shaping the future of Prime Video (PV).
Description
We are looking for a Finance leader who loves video entertainment and wants to work directly with Product and Business leaders on shaping the future of Prime Video (PV).
PV offers customers the largest selection of any streaming service in the world, combining exclusive content available for Prime members (e.g. Amazon Original hits like Fallout, Reacher, and The Boys; licensed content from other studios; live events such as Thursday Night Football), 3P Channel subscriptions such as Paramount+, HBO Max, and AppleTV+, an expansive catalog of transactional (rent or buy) content (TVOD), and linear ad supported channels with 24/7 programming. The PV team comprises individuals who are all obsessively focused on one mission: to give consumers the world’s best-in-class digital video customer experience.
Our PV Product organization is constantly innovating on the customer experience in PV, including enhanced personalization and building intuitive discovery journeys for customers to find all of the content available to them in PV. This forward-looking focus requires close partnership with Finance to not only highlight opportunities from metrics reporting, but to also forecast impact of features and assist in evaluating experimentation.
The ideal candidate is someone who loves to dive into data and transform it into insights that connect back to the customer experience. Familiarity with SQL and large datasets is critical in order to access and combine data to iterate on new metrics and analyses. This is a fast-paced environment with inherent ambiguity which requires a self-starter that is comfortable working independently. They must be comfortable performing detailed, complicated analysis and communicating findings to stakeholders in a clear, efficient manner that highlights the most relevant points to the business’ strategy.
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