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Business Intelligence Engineer II, Account Integrity

Amazon.com Inc
  • Seattle, WA
    2 days ago

    Job Description

    Have you ever thought about what it takes to protect hundreds of millions of Amazon customers from having their accounts compromised? At Amazon"s Account Integrity Team (AIT), we are on the front lines of detecting and preventing account security threats - from Account Takeover (ATO) to the broader landscape of credential abuse, unauthorized access, and emerging attack vectors that make up some of the most sophisticated and evolving threats in e-commerce fraud.

    We are looking for a Business Intelligence Engineer to join our Buyer Risk Prevention (BRP) team, focused on our account security charter. In this role, you will own the analytical backbone of our account security detection and prevention programs. This includes building enforcement metrics to evaluating the effectiveness of rule-based and ML-driven interventions across millions of sign-in and account events globally.

    You will be the analytical authority for performance measurement and program insights. You will work closely with Science, Tech, Product, and Operations teams to translate complex fraud signals into actionable strategies. Beyond measurement, you will design and build the GenAI infrastructure that powers the next generation of our analytics. This role will stand up the pipelines, tools, and automation that let the team apply large language models and generative AI to fraud detection, investigation, and insight generation at scale.

    Key job responsibilities

    • Deep diving business trends, analyzing anomalies and guiding business decision-making through data
    • Building dashboard/scalable metric tracking mechanisms
    • Working closely with Business and Operations teams to find ways to mitigate bad actor attacks
    • Ensuring that the team works backwards from the customer problem using data

    About the team

    The Account Integrity's mission is to prevent bad actors from using the Amazon brand or Amazon accounts to harm customers, sellers, and the Amazon business.

    Numbers & Facts

    LocationSeattle, WA
    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
    • Automationunmatched
    • Business Intelligenceunmatched
    • Business Operationsunmatched
    • Computer Securityunmatched
    • Consumer Brandingunmatched
    • Customer Relationsunmatched
    • Divingunmatched
    • Fraud Investigationunmatched
    • Metricsunmatched
    • Modeling Languagesunmatched
    • Performance Analysisunmatched
    • Performance Metricsunmatched
    • Purchasing/Procurementunmatched
    • Reporting Dashboardsunmatched
    • Riskunmatched
    • Salesunmatched
    • Scalable System Developmentunmatched
    • Security Attacksunmatched
    • Trend Analysisunmatched
    • eCommerceunmatched

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