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Sr. BI Engineer, AWS Regions Finance

Amazon.com Inc

  • Seattle, WA
  • 30+ days ago
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Best Practicesunmatched
    • Business Intelligenceunmatched
    • Customer/Client Researchunmatched
    • Data Analysisunmatched
    • Data Qualityunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Detail Orientedunmatched
    • Documentationunmatched
    • Financeunmatched
    • Metricsunmatched
    • Profit & Lossunmatched
    • Risk Analysisunmatched
    • SQL (Structured Query Language)unmatched
    • Training/Teachingunmatched

    Description

    The AWS Regions Finance team has a broad range of responsibilities from driving existing business performance to recommending INTL infrastructure expansion. We operate across the full P&L to identify risks and opportunities. We push the boundaries of how to measure and manage the AWS business, inventing metrics and using our platform to align L10+ leaders on controllable inputs.

    We are looking for someone who"s an expert with SQL, ETL and, more generally, data wrangling. A track record of moving fast to adopt GenAI tools with a passion and proven ability to teach others are required. The successful candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. In this role, you will need to deeply understand the business and will be expected to partner directly with customers to answer key business questions and drive outcomes.

    Key job responsibilities

    Key job responsibilities

    • Work with business customers to gather requirements and deliver complete data analytical solutions
    • Learn why customers are asking for data and what their underlying questions and business goals are
    • Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions
    • Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation
    • Drive data democratization throughout the organization, enabling others to self-serve their data needs

    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

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