Amazon.com Inc logo

Sr Business Intelligence Engineer, FBA Analytics

Amazon.com Inc

  • Bellevue, WA
  • 30+ days ago
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    Skills

    • Analysis Skillsunmatched
    • Analytical Method Developmentunmatched
    • Artificial Intelligence (AI)unmatched
    • Business Intelligenceunmatched
    • Business Solutionsunmatched
    • Capacity Utilizationunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Scienceunmatched
    • Detail Orientedunmatched
    • Leading Edge Technologyunmatched
    • Mentoringunmatched
    • Metricsunmatched
    • Performance Metricsunmatched
    • Product Developmentunmatched
    • Product Shipmentsunmatched
    • Reporting Dashboardsunmatched
    • Reporting Skillsunmatched
    • Salesunmatched
    • Sales Pipelineunmatched
    • Statisticsunmatched
    • Supply Chain Optimizationunmatched

    Description

    At Amazon, we"re working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Multiple Sellers in various countries ship billions of products for sale on the Amazon Marketplace. To meet our sellers needs, we are constantly innovating and building on new ideas. Fulfillment by Amazon (FBA) analytics and data science team partners with product team to optimize inbound supply chain by influencing right tradeoffs among cost, speed and network capacity utilization.

    FBA Analytics team is looking for an individual with excellent analysis and statistical skills, deep knowledge of business intelligence solutions, and the ability to work with product development, and business teams. The successful candidate will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail. In this critical role, you"ll partner with business leaders to develop analytical methods, KPIs & dashboards, and build AI workflows to empower business with data-driven strategic decisions. In this critical role, you"ll partner with business leaders to develop analytical methods, KPIs & dashboards, and build AI workflows to empower business with data-driven strategic decisions.

    Key job responsibilities

    Deep dive into data to uncover actionable insights.

    Create robust reporting to increase visibility into the metrics and data.

    Partner with key stakeholders to enable data driven decision making.

    Partner with data engineers to build data pipeline and standardize data transformation logic.

    Design and implement scalable self-service dashboards to enable business users get answer frequently asked business questions in self service fashion.

    Apply statistical techniques to infer impact of product and policy decisions on business outcomes.

    About the team

    • Work on high-impact, high-visibility projects that drive the experience for millions of customers.
    • The opportunity to use and learn state-of-the-art data management solutions.
    • Excellent opportunities, and ample support, for career growth, development, and mentor-ship.
    • Competitive compensation, including relocation support.

    Numbers & Facts

    LocationBellevue, 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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