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Data Engineer, Studios Analytics

Amazon.com Inc
  • Culver City, CA
    2 days 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 Data 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 and own the data pipelines and models that power content performance reporting and the products Studios leaders rely on daily. You will own foundational content performance datasets end-to-end - turning a historically fragmented, dependency-heavy data landscape into trusted, single-threaded, well-governed data products.

    This is a hands-on data engineering role at the heart of a deliberate structural change: bringing the content performance data and the products that surface it under one team, removing cross-team dependencies, and enabling faster iteration for Studios stakeholders.

    Key job responsibilities

    • Build, optimize, and own data pipelines (ETL/ELT) and logical/physical data models for content performance datasets that serve as the source of truth for title-level launch KPIs.
    • Own ongoing data quality, monitoring, and SLAs for your datasets, ensuring reporting surfaced in applications is accurate, timely, and trusted by Studios leadership.
    • Take single-threaded ownership of the data behind the content performance products enabling the team to prioritize and deliver data changes independently.
    • Partner with BIEs, product development, and the financial reporting team to deliver integrated title-level and portfolio-level data (including feeds into web applications and downstream reporting).
    • Consume upstream governed data (e.g., P&L from the Economics team) correctly and consistently, upholding metric governance so definitions remain consistent across Prime Video.
    • Automate manual and ad-hoc data processes, build tooling for data lineage, quality, and discoverability, and reduce operational toil.
    • Contribute to design reviews, data modeling decisions, and technical trade-offs, leaving data solutions better and easier to maintain than you found them.
    • Enable self-service access to underlying content data for analysts and BIEs, minimizing bottlenecks.

    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

    • Artificial Intelligence (AI)unmatched
    • Business Intelligenceunmatched
    • Business Supportunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Economicsunmatched
    • Embedded Systemsunmatched
    • Establish Prioritiesunmatched
    • Financial Analysisunmatched
    • Financial Reportingunmatched
    • Internet Applicationunmatched
    • Leadershipunmatched
    • Machine Toolunmatched
    • Metricsunmatched
    • Model Reviewunmatched
    • Performance Analysisunmatched
    • Performance Metricsunmatched
    • Performance Modelingunmatched
    • Product Developmentunmatched
    • Profit & Lossunmatched
    • Quality Monitoringunmatched
    • Service Level Agreement (SLA)unmatched
    • Time Managementunmatched
    • Training Data Setsunmatched
    • Web Feedsunmatched

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