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Business Intelligence Engineer II, TMAT Network Design Modeling

Amazon.com Inc
  • Santa Clara, CA
    4 days ago

    Job Description

    Are you passionate about turning complex data into clear, actionable insights that drive meaningful business decisions? As a Business Intelligence Engineer II at Amazon, you will design and build scalable data solutions that power how teams understand performance, identify opportunities, and make informed choices.

    At Amazon, we work every day to be the most Customer-centric company on earth. To deliver on this promise, the TMAT Network Design Modeling team continuously optimizes Amazon"s transportation network to balance speed, cost, resilience, and sustainability. The TMAT Core Design Modeling team is seeking a BIE II who will own Amazon"s core network design modeling capabilities and lead the transformation toward "always on" modeling that drives proactive network optimization and strategic decision-making.

    In this role, you will own end-to-end analytics - from data modeling and pipeline development to visualization and stakeholder communication. You will tackle loosely defined problems, apply analytical rigor, and deliver high-quality data products that directly influence strategy. If you thrive on making sense of ambiguity and want your work to have real impact at scale, we want to hear from you.

    Key job responsibilities

    • Run and Improve Network Design Models working with Technical Product Managers and Applied Scientists and analyze the modeled outputs
    • Design, build, and maintain mid-to-large-scale BI solutions including data models, ETL pipelines, and curated datasets that serve as trusted sources of truth for business reporting and decision-making.
    • Develop intuitive dashboards, reports, and visualizations using industry analytics tools to surface key metrics and enable stakeholders to self-serve insights where appropriate.
    • Collaborate with cross-functional partners - including data engineers, data scientists, product managers, and business teams - to refine ambiguous problem statements into specific, measurable deliverables that address real business needs.
    • Apply statistical methods and analytical techniques to complex business questions, clearly communicating findings, assumptions, and limitations to both technical and non-technical audiences.
    • Improve data quality and operational excellence by documenting data lineage, maintaining clear design documentation, and mentoring peers on how your team"s BI solutions are constructed and consumed.

    About the team

    Our team is focused on enabling smarter, faster decisions through reliable data and thoughtful analytics. We build the foundational BI infrastructure that teams across our organization depend on to measure what matters and act with confidence. We value collaboration, intellectual curiosity, and a commitment to getting the details right. As we continue to grow, we are investing in new tools and approaches to expand the reach and impact of our data products - and you will play a key role in shaping that future.

    Numbers & Facts

    LocationSanta Clara, 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
    • Business Intelligenceunmatched
    • Communication Skillsunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Documentationunmatched
    • Mentoringunmatched
    • Metricsunmatched
    • Network Designunmatched
    • Process Improvementunmatched
    • Quality Managementunmatched
    • Reporting Dashboardsunmatched
    • Scalable System Developmentunmatched
    • Statisticsunmatched
    • Sustainabilityunmatched
    • Technical Leadershipunmatched
    • Training Data Setsunmatched

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