Amazon.com Inc logo

BIE, Applied AI Solutions

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

    Job Description

    The newest business group in AWS, AWS Solutions are built by AWS and AWS Partners to address specific industry, cross-industry, and technology use cases.

    Our customers are evolving from builders to both builders and buyers.

    As the AWS customer base expands, we increasingly need to serve customers who prefer to "buy" Solutions in addition to those who prefer to "build." Given the depth and breadth of offerings (200+ AWS services and features, and thousands of APN offerings), and various ways they can be put together, increasingly customers need prescriptive guidance and automation to reduce the number of decisions they need to make and minimize last-mile development to adopt AWS.

    As a BI engineer on this team, you will get the exciting opportunity to work on very large data sets in one of the world"s largest and most complex data warehouse environments. You will work closely with product and business leaders and executives to continuously evolve the analytical portfolio and help the businesses make product strategy decisions.

    Key job responsibilities

    • Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
    • Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.
    • Conduct ad hoc data analysis and data quality investigations.
    • Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.
    • Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.
    • Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.

    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
    • Automationunmatched
    • Business Intelligenceunmatched
    • Data Analysisunmatched
    • Data Qualityunmatched
    • Data Setsunmatched
    • Data Warehousingunmatched
    • Documentationunmatched
    • Metadataunmatched
    • Product Strategyunmatched
    • Reporting Dashboardsunmatched
    • Technical Supportunmatched
    • Time Managementunmatched
    • Use Casesunmatched

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