Amazon.com Inc logo

BI Engineer, AWS Finance, Analytics and Science Team

Amazon.com Inc
  • Seattle, WA
    30+ days ago

    Job Description

    AWS is one of Amazon"s largest and fastest-growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises leverage information technology.

    The AWS Central Economics & Science (ACES) team drives best practices for objectively applying economics and science to decision-making across AWS. Partnering with Finance, Science, and Business teams, ACES identifies, frames, and analyzes complex, ambiguous problems of the highest priority. The ACES Business Intelligence (BI) team supports strategic decision-making across the AWS global organization, delivering data-driven insights that power sales operations and business performance optimization. We are looking for a creative, analytical, and enthusiastic Business Intelligence Engineer to join us.

    The ideal candidate is an expert in SQL, ETL, and general data wrangling, with exemplary communication skills. They thrive in ambiguity within a fast-paced, evolving environment and can think big while maintaining careful attention to detail. They are passionate about business intelligence tools and skilled at partnering with stakeholders to answer key business questions.

    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
    • Leverage AI and emerging innovation in data infrastructure to automate repetitive workflows, accelerate analyses, and unlock new patterns from complex datasets
    • 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

    Skills

    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Business Growthunmatched
    • Business Intelligenceunmatched
    • Business Intelligence Softwareunmatched
    • Cloud Computingunmatched
    • Communication Skillsunmatched
    • Customer/Client Researchunmatched
    • Data Analysisunmatched
    • Data Qualityunmatched
    • Data Setsunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Decision Supportunmatched
    • Detail Orientedunmatched
    • Documentationunmatched
    • Economicsunmatched
    • Financeunmatched
    • Financial Analysisunmatched
    • Information Technology & Information Systemsunmatched
    • Metricsunmatched
    • Performance Tuning/Optimizationunmatched
    • Process Improvementunmatched
    • SQL (Structured Query Language)unmatched
    • Sales Operationsunmatched
    • Workflow Analysisunmatched

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