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WW Content Strat. & Analytics, Prime Video Licensing, Analytics, Operations, and Strategy (LASO)

Amazon.com Inc

  • Culver City, CA
  • 30+ days ago

    Highlights

    The ideal candidate will be a critical thinker who has strong analytical skills and strong attention to detail, an ability to juggle multiple competing priorities, is cool under pressure and is able to analyze large data sets to discover insights from data. This Analyst will perform quantitative and qualitative analyses in support of our SVOD, TVOD, AVOD content licensing activities with major studios and major TV network groups for Prime Video and Prime Video Direct in US and in international locales.

    Numbers & Facts

    LocationCulver City, CA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    Prime Video is seeking a creative, savvy and analytically-minded digital content executive to join the content acquisition team as a Content Insight Analyst. This Analyst will perform quantitative and qualitative analyses in support of our SVOD, TVOD, AVOD content licensing activities with major studios and major TV network groups for Prime Video and Prime Video Direct in US and in international locales. The ideal candidate will be a critical thinker who has strong analytical skills and strong attention to detail, an ability to juggle multiple competing priorities, is cool under pressure and is able to analyze large data sets to discover insights from data. S/he must be able to clearly and concisely communicate thoughts and ideas, both written and verbally, operate in a fast-paced environment and think outside of his/her direct sphere of responsibility.

    Key job responsibilities

    • Strong experience in writing SQL queries, building Quicksight dashboards, and superior excel skills.
    • Write high-quality, detailed and data-supported content strategy documents which are presented to senior executives
    • Audit business metrics, perform deep dive analysis on problems to understand root causes and making decisions based on data
    • Partner with internal Finance/Content Analytics teams to help continuously improve the internal tools, and models that are used to assess and to predict the customer engagement value of different types of content
    • Perform analysis which quantifies the impact that different TV series and/or movies will have on customer engagement
    • AI-Driven Enhancements for Prime Video & Prime Video Direct: Develop and implement AI-powered strategies to enhance content moderation, rights management, and policy enforcement for self-submitted content.
    • AI Integration in Content Review Process: Leverage AI and machine learning to streamline and improve the efficiency of content review processes for Prime Video & Prime Video Direct submissions.
    • Prompt Engineering for Content Analysis: Design and optimize AI prompts specifically for analyzing and categorizing self-submitted content, ensuring compliance with platform policies and industry standards.
    • Maintain a can-do attitude and willingness and flexibility to solve problems at short notice, using any tools necessary

    About the team

    This team sits at the heart of Prime Video"s licensing business and has ownership/insights across all of Prime Video"s business lines (SVOD, TVOD, AVOD, etc) and all territories. You will be joining a team with high visibility to Prime Video leadership and high impact to the business.

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

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