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Business Intelligence Engineer, Studios Analytics

Amazon.com Inc
  • Culver City, CA
    1 day ago

    Job Description

    Amazon MGM Studios is one of the largest and most ambitious content studios in the world. The Prime Video Finance Analytics organization supports this business with a centralized team of 40+ technical specialists spanning data engineering, business intelligence, data science, and product development, powering the data platforms and reporting that inform how content is planned, evaluated, and optimized across the entire Prime Video portfolio.

    We are looking for a Business Intelligence Engineer to join a dedicated, LA-based Studios Analytics team embedded alongside Amazon MGM Studios leadership. Reporting to the Senior Manager of Studios Analytics, you will build the dashboards, automated reporting, and AI-assisted tooling that give Studios leaders and the Strategy organization real-time visibility into content performance and portfolio health. You will translate the questions of senior content decision-makers into clear, reliable analytical products - and you will do it as part of a larger central technical organization, leveraging shared infrastructure, governed datasets, and established tooling rather than building in isolation.

    This is a hands-on, delivery-focused role for someone who is energized by turning messy content and performance data into trusted, self-service reporting that leadership relies on daily.

    Key job responsibilities

    • Design, build, and maintain dashboards, automated reporting, and analytical tooling that surface title-level performance (launch KPIs, completion, retention) and portfolio views for Studios leadership, primarily through FrameOne and related surfaces.
    • Automate high-volume, manual workflows - including templated title-level reporting, talent-facing presentations, and slate/portfolio summaries - with a bias toward scalable, reusable solutions over one-off outputs.
    • Partner directly with Studios Strategy, Finance, and content stakeholders to refine ambiguous requests into specific, well-scoped deliverables, anticipating downstream needs.
    • Write efficient, well-tested SQL and BI logic against governed datasets, ensuring your solutions are maintainable, performant, and resistant to data quality issues.
    • Uphold central metric governance - using the single-source-of-truth definitions for content metrics so that Studios reporting is consistent with official Prime Video and finance reporting.
    • Apply AI-assisted tooling to accelerate delivery, in partnership with the organization"s AI enablement function.
    • Collaborate closely with data engineers, product development, and the financial reporting team to deliver integrated, dependency-light solutions.
    • Enable self-service access to underlying data where appropriate, reducing reporting bottlenecks for business stakeholders.

    About the team

    This role sits on a newly-expanded LA Studios Analytics team embedded with Studios but part of the broader 40+ person central Prime Video Finance Analytics organization. This structure is deliberate: you"ll have the proximity of a small, focused team partnering directly with Studios VPs and Strategy, with the leverage of shared central infrastructure, governed data, and a dedicated AI enablement function behind you.

    Numbers & Facts

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

    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

    Skills

    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Business Intelligenceunmatched
    • Business Supportunmatched
    • Content Managementunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Embedded Systemsunmatched
    • Financial Analysisunmatched
    • Financial Reportingunmatched
    • Financial Strategyunmatched
    • Leadershipunmatched
    • Machine Toolunmatched
    • Metricsunmatched
    • Performance Metricsunmatched
    • Product Developmentunmatched
    • Reporting Dashboardsunmatched
    • SQL (Structured Query Language)unmatched

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