Amazon.com Inc logo

Sr. BIE, Pricing Data and Insights

Amazon.com Inc
  • Seattle, WA
    10 days ago

    Job Description

    Are you looking for a role where you have the opportunity to shape Amazon's Pricing data analytics, and insights? If so, our role in Amazon"s Pricing Data and Insights organization is for you.

    Amazon"s Pricing Data and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for the Pricing organization.

    This role requires a self-starting leader with high judgment that thrives in ambiguity. We are looking for a person with broad and deep analytical abilities, that is customer and delivery-focused, and a has a track record of earning your customers and peer's trust. To be successful in this role, you will need strong business acumen and an entrepreneurial mindset.

    Key job responsibilities

    • Lead business intelligence for your business and its customers.
    • Develop, build, and deliver analytical reporting, models and business strategy
    • Conducting deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
    • Leverage LLMs to generate Insights and drive growth discussions with Product teams.
    • Producing written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
    • Continuously invent, simplify, and automate your products, tools, services, and methodologies.
    • Improving back-end data sources for increased accuracy and simplicity.
    • Recognizing and adopting best practices in reporting, analyses, data quality and modeling.

    About the team

    The Pricing organization leverages planet scale multi-modal data on billions of Amazons and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon"s prices are always competitive and error free.

    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
    • Best Practicesunmatched
    • Business Analysisunmatched
    • Business Intelligenceunmatched
    • Business Modelunmatched
    • Business Skillsunmatched
    • Business Strategyunmatched
    • Customer Experienceunmatched
    • Customer/Client Researchunmatched
    • Data Analysisunmatched
    • Data Modelingunmatched
    • Data Qualityunmatched
    • Entrepreneurshipunmatched
    • Leadershipunmatched
    • Machine Learningunmatched
    • Metricsunmatched
    • Pricingunmatched
    • Problem Solving Skillsunmatched
    • Product Pricingunmatched
    • Reporting Skillsunmatched

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