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Senior Business Intelligence Engineer, Devices Supply Chain Technology

Amazon.com Inc
  • Sunnyvale, CA
    30+ days ago

    Job Description

    At Amazon Devices, the teams behind products like Kindle and Echo make sourcing and cost decisions across thousands of components and hundreds of programs. This role builds and maintains the data foundation those decisions depend on.

    We are looking for a Senior Business Intelligence Engineer to build and run the core data foundation, and turn the data into the metrics and diagnostics leaders act on. You will create the pipelines and data models behind those metrics, and develop the analytics that explain not just what happened but why. You will design the data layer to be consumed by people and AI agents alike. This is a build role with ambiguity: problems arrive loosely defined, and you turn them into reliable data and clear answers.

    Key job responsibilities

    • Build and own the core data pipelines and data models for supply chain cost, commodity, and sourcing metrics, including data that comes from suppliers.
    • Work with business owners across sourcing, operations, finance, and program teams to turn analysis and diagnostics into decisions.
    • Establish data standards (taxonomies, reference data, schema governance) so metrics and reporting reconcile to one source.
    • Make the data layer machine-readable and agent-ready, and automate recurring narratives and reviews with LLMs and agentic patterns where they earn their place.
    • Build in data quality: traceable lineage, validation, anomaly detection, and monitoring.
    • Partner with central Data Engineering to scale governed, automated pipelines across the organization.
    • Set the technical standards other teams can adopt for working with supply chain data, and mentor engineers and analysts.

    A day in the life

    You take on problems that arrive loosely defined. Working with the business owners who bring in the supplier data and act on the result, you trace where it comes from, pin down the source of truth, and build the pipeline and data model behind it. You turn that into the metrics and dashboards that move a decision. The payoff is a source other teams can trust and build on. You move fast, handle shifting priorities, and leave the data better than you found it.

    About the team

    Devices Supply Chain Technology is the team that brings Amazon Devices supply chain"s data, analytics, and tools together in one place. We build what our supply chain, finance, operations, and program teams rely on to make decisions. We use AI to build faster, and we design our products so AI agents and people can both use them. We value ownership, high standards, and building with our business partners.

    Numbers & Facts

    LocationSunnyvale, 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
    • Artificial Intelligence (AI) Agentsunmatched
    • Business Intelligenceunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Qualityunmatched
    • Financeunmatched
    • Kindleunmatched
    • Mentoringunmatched
    • Metricsunmatched
    • Product Designunmatched
    • Reporting Dashboardsunmatched
    • Sales Pipelineunmatched
    • Supply Chainunmatched
    • Taxonomiesunmatched

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