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Business Intelligence Engineer III, Intellectual Property Protection

Amazon.com Inc

  • Seattle, WA
  • 5 days ago

    Highlights

    Business Intelligence Engineer, from Day 1, you will be challenged with solving complex and ambiguous data problems - from designing scalable data models and metric frameworks, to building executive-ready dashboards, owning pipeline architecture and driving the technical strategy for the data team. Develop dashboards that provide insights into the health of the business, create analytics solutions to drive deep dives and uncover hidden risks/trends and recommend optimizations for future state.

    Numbers & Facts

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

    Description

    Are you passionate about building business insights that drive decision-making at the highest levels? Do you want to be part of a fast-paced, ambiguous environment and contribute to Amazon"s Brand Protection charter?

    As a Sr. Business Intelligence Engineer, from Day 1, you will be challenged with solving complex and ambiguous data problems - from designing scalable data models and metric frameworks, to building executive-ready dashboards, owning pipeline architecture and driving the technical strategy for the data team.

    What are we looking for?

    • You have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment.
    • You are passionate about finding root causes, trends, and patterns and how they impact business. You use data to support your ideas and drive actionable outcomes, and draw inferences and conclusions based on data.
    • You should be able to work on complex initiatives, deal with ambiguity, and work with senior leaders.
    • You have extensive experience working with extremely large data sets and are comfortable with various tools and technologies to consume, extract, and transform data.
    • You have business communication skills to be able to work with product and program owners to understand key business questions, and are able to build solutions (analysis / reports / dashboards) that enable them to answer those questions quickly and accurately.
    • You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives.
    • You have experience mentoring engineers and raising the technical bar for a team - through code reviews, architectural guidance, and leading by example.

    Key job responsibilities

    • Be highly data driven, resourceful, and team oriented.
    • Translate analytic insights into actionable recommendations for business and clearly communicate strategic findings by translating complex technical concepts into business terms and vice versa.
    • Develop dashboards that provide insights into the health of the business, create analytics solutions to drive deep dives and uncover hidden risks/trends and recommend optimizations for future state.
    • Interact with internal program, product, engineering, data and science owners to gather requirements, structure scalable and performant data solutions and gain a deep understanding of key datasets.
    • Own the design, creation, and management of extremely large datasets and tune query performance against large and complex data sets.
    • Design, implement, and drive adoption of new analytic technologies and solutions and promote industry standard best practices.
    • Serve as the technical lead for the Brand Protection data team - owning architectural decisions, mentoring engineers and analysts on best practices, query optimization, and data modeling.

    About the team

    The Brand Protection team is part of Amazon"s WW Customer & Partner Trust organization. Our vision is to use data provided by Brands in the Brand Registry to prevent Brands eligible for protections worldwide from ever seeing a listing on Amazon that has invalid data (e.g., misuse of trademarks, copyright) associated with their Brand. We strive to make Amazon the best way for Selling Partners to operate their businesses by protecting their intellectual property while reaching customers locally and globally.

    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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