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Business Intelligence Engineer, North America Transportation Services

Amazon.com Inc
  • Irving, TX
    27 days ago

    Job Description

    Are you excited about how information insights can bring value to our transportation team. We are looking for a self-driven, insightful, results-oriented Business Intelligence Engineer to join the North America Transportation team. Our team mission is to drive improvements to customer experience, performance, and cost across Amazon's transportation systems, from initial delivery promise to final delivery to our customers.

    This is a tremendous opportunity for Business Intelligence Engineers who want to develop new and innovative ways of interacting with and interpreting business key performance indicators, and shape the future of Amazon Transportation systems.

    Key job responsibilities

    • Build and maintain reports, dashboards, and data sets using SQL, AWS Redshift/S3, and visualization tools such as QuickSight or Tableau, with guidance from senior BI engineers.
    • Support the creation and monitoring of transportation metrics related to delivery cost and customer experience, escalating anomalies and findings to senior team members.
    • Perform data gathering, analysis, and validation to answer specific business questions from program owners, following established analytical approaches.
    • Conduct ad hoc analyses to investigate transportation issues, documenting findings and presenting recommendations to your immediate team and manager.
    • Contribute to automating manual reporting processes by writing scripts in Python or R under the direction of senior engineers.
    • Collaborate with data engineers and other BI engineers to learn data architecture best practices and support data pipeline improvements.

    A day in the life

    As a Business Intelligence Engineer on the North America Transportation Planning and Forecasting team, you"ll start your day reviewing existing dashboards and checking for data quality issues. You"ll work with your manager and senior BI engineers to prioritize analytical requests from program owners. Your day may include writing SQL queries to pull data for a specific business question, updating a dashboard to reflect new metrics, or investigating a data anomaly flagged by a stakeholder. You"ll participate in team meetings where you"ll share your findings and learn from more experienced team members. You"ll have opportunities to develop your skills across the AWS data ecosystem and grow your understanding of Amazon"s supply chain.

    About the team

    We are the central planning and forecasting team for North America Transportation. We integrate end-to-end customer fulfillment analytics across both the short term (13 weeks) and long term (3-5 years) horizon. You"ll work alongside operations specialists, data scientists, and senior BI engineers who are committed to using data to improve how we serve our customers.

    Numbers & Facts

    LocationIrving, TX
    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 Simple Storage Service (S3)unmatched
    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Best Practicesunmatched
    • Business Intelligenceunmatched
    • Customer Escalationsunmatched
    • Customer Experienceunmatched
    • Data Analysisunmatched
    • Data Collectionunmatched
    • Data Managementunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Documentationunmatched
    • Ecosystemsunmatched
    • Financial Analysisunmatched
    • Forecastingunmatched
    • Metricsunmatched
    • Order/Customer Fulfillmentunmatched
    • Performance Metricsunmatched
    • Process Improvementunmatched
    • Python Programming/Scripting Languageunmatched
    • R Programming Languageunmatched
    • Reporting Dashboardsunmatched
    • SQL (Structured Query Language)unmatched
    • Scripting (Scripting Languages)unmatched
    • Software Engineeringunmatched
    • Supply Chainunmatched
    • Tableauunmatched
    • Transportation Planningunmatched

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