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Senior Business Intelligence Engineer, North America Supply Chain Execution Strategy

Amazon.com Inc

  • Austin, TX
  • 3 days ago

    Highlights

    Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements. Our team thrives on innovation, continuous learning, and creating transformative solutions that make a tangible impact across various business domains.

    Numbers & Facts

    LocationAustin, TX
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    We are looking for a Senior Business Intelligence Engineer (BIE) to drive the use of AI in analytics with high exposure to executive level business decision making support. In this role you will define and implement scalable processes, diving deep into the product and program metrics globally across multiple business units. You will apply both business and technical acumen in a fast-paced, ambiguous and innovative environment.

    Key job responsibilities

    • Design and build AI tools that derive actionable insights from some of the world's largest datasets
    • Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks
    • Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers
    • Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements
    • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

    A day in the life

    Your day will be a dynamic blend of technical investigation and collaborative problem-solving. You"ll dive deep into AI solution performance, translating complex usage metrics into actionable insights that drive meaningful business outcomes. Expect to engage in cross-functional discussions, analyze intricate data patterns, and develop strategies that enhance AI system effectiveness.

    About the team

    We are a collaborative group of technology and business experts dedicated to pushing the boundaries of AI performance optimization. Our team thrives on innovation, continuous learning, and creating transformative solutions that make a tangible impact across various business domains. We value diverse perspectives and empower team members to contribute unique insights that drive our collective success.

    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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