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Business Intelligence Engineer II, OpsTech IT, OTS Anchor Team

Amazon.com Inc

  • Austin, TX
  • 10 days ago

    Highlights

    Partner with analysts, engineers, and program leaders to define new metrics, improve existing measurements, and retire metrics that no longer provide meaningful insight. As a Business Intelligence Engineer II, you will build data pipelines, models, dashboards, and AI assisted analytics that help Field IT leaders understand performance and make informed decisions.

    Numbers & Facts

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

    Description

    Operations Technology Solutions builds and operates the technology that keeps Amazon operations sites connected and running. The OTS Ops Tech Analytics team develops the metrics and reporting used in Weekly Operational Reviews and Quarterly Business Reviews.

    As a Business Intelligence Engineer II, you will build data pipelines, models, dashboards, and AI assisted analytics that help Field IT leaders understand performance and make informed decisions. You will work across the analytics lifecycle, from raw operational data through executive scorecards, with a strong focus on accuracy, clarity, and scalable reporting.

    Key job responsibilities

    • Write and optimize advanced SQL and Amazon Redshift transformations across large operational datasets.
    • Design data models and staging layers that convert Field IT data into reliable, well documented metrics.
    • Build and maintain Weekly Operational Review and Quarterly Business Review dashboards and scorecards in Amazon QuickSight and Amazon Quick Suite.
    • Validate and reconcile metrics before they are included in leadership reporting.
    • Investigate metric discrepancies by reviewing definitions, transformation logic, and upstream source systems.
    • Translate operational questions into clear, consistent, and defensible measurements.
    • Apply generative AI and large language model assisted methods to support anomaly investigation, metric analysis, and self service reporting.
    • Partner with analysts, engineers, and program leaders to define new metrics, improve existing measurements, and retire metrics that no longer provide meaningful insight.

    A day in the life

    You may begin the day validating the metrics prepared for an operational review and investigating an unexpected change in a Field IT measure. Later, you might optimize a Redshift transformation, publish an updated data model, and improve QuickSight visuals for a nontechnical audience. You may also work with a program leader to define a new quarterly metric or prototype an LLM assisted workflow that drafts initial explanations for recurring anomalies.

    About the team

    OTS Ops Tech Analytics builds and operates the metrics layer for Operations Technology Solutions. The team produces Weekly Operational Review and Quarterly Business Review scorecards used by Field IT Operations leaders. We are investing in AWS native data pipelines and AI assisted analytics to improve the scale, accuracy, and clarity of our reporting.

    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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