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Business Intelligence Engineer, Advertising Finance

Amazon.com Inc

  • Seattle, WA
  • 7 days ago

    Highlights

    This role requires an individual with excellent business acumen, communication, and technical skills, enabling collaboration with various functions, including product managers, data engineers, finance managers, software engineers, data scientists, as well as senior leadership. Amazon seeks a Business Intelligence Engineer with strong technical, analytical, and business intelligence skill sets and experience to be a key partner for Amazon"s Advertising business focusing on Amazon.com across all ad programs.

    Numbers & Facts

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

    Description

    Amazon seeks a Business Intelligence Engineer with strong technical, analytical, and business intelligence skill sets and experience to be a key partner for Amazon"s Advertising business focusing on Amazon.com across all ad programs.

    This role will be the key contributor on the Advertising Publisher Monetization Finance team, supporting publishers such as Amazon.com, Prime Video, Alexa, Twitch, Fire TV, Audio, Live Sports, PubTech, Amazon Business, and Books Ads. The person will own the Amazon Business Ads landscape initially and evolve into supporting all Stores and Verticals publishers. The person will build out the business insights, analysis practices, and data infrastructure for APM stakeholders, gaining visibility across Ads, Retail, and Finance organizations. The team generates insights to guide product and partner strategy and provides direct business strategy support to senior leaders. We are motivated to improve the overall experience for both our advertisers and shoppers through Ads.

    As a key analytics partner, the Business Intelligence Engineer will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. This role involves translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see high potential for growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business. The role will help the organization identify, evaluate, and evangelize new techniques and tools to further improve our ability to deliver value to Amazon"s customers.

    This role requires an individual with excellent business acumen, communication, and technical skills, enabling collaboration with various functions, including product managers, data engineers, finance managers, software engineers, data scientists, as well as senior leadership. The successful candidate will be a self-starter comfortable with ambiguity, complex datasets, and challenging business problems. The person will demonstrate strong ownership and an ability to work in a fast-paced, ever-changing, and high-energy environment.

    Key job responsibilities

    Key job responsibilities

    Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline, reporting, to support long-term business strategies

    Simplify and re-invent current data solutions to support the business scope expansion

    Explore and deep dive into new areas across various ad programs as well as business functions to support business decision making

    Translate business problems into data questions, find solutions to solve those questions with resourcefulness

    Present analytical findings and recommendations to business leadership

    Work cross-functionally with other teams in various job families to gather data sources to provide a comprehensive view of the business, inclusive of supply, demand, sales, operations, shopper, etc.

    Recognize and adopt best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentation

    This role promises to give exposure to a high growth business. This BIE will be actively involved in building new metrics, understanding impact of product changes, and identifying opportunities for growth through exploratory analyses including use of lightweight statistical techniques. This role provides the opportunity to use emerging technologies such as machine learning to build models and tools used by management for strategic decision making.

    About the team

    The APM Advertising Finance team supports various publishers, including Stores, Amazon Business, Books, Grocery, Devices, Video, Audio. Our focus is to accelerate top-line revenue and improve profitability by evaluating overall ad supply monetization and utilization, product feature or sales package adoption, campaign performance, and other various product drivers of growth.

    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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