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Business Intelligence Engineer, ATS

Amazon.com Inc

  • Bellevue, WA
  • 15 days ago

    Highlights

    Amazon Transportation Services (ATS) is seeking an innovative, results-oriented, and strategic Business Intelligence Engineer (BIE) who excels at diving deep into complex problems and developing AI-powered solutions that drive critical business decisions. The ideal candidate is skilled in database design, conducts advanced analytics using AI, SQL and Python, and thrives in ambiguous, fast-paced environments where defining the right questions is as important as finding the answers.

    Numbers & Facts

    LocationBellevue, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    Amazon Transportation Services (ATS) is seeking an innovative, results-oriented, and strategic Business Intelligence Engineer (BIE) who excels at diving deep into complex problems and developing AI-powered solutions that drive critical business decisions. In this role, you will design and build department-wide analytical solutions, leveraging AI technologies alongside traditional BI capabilities. You will own the end-to-end development of AI-powered analytical solutions, data pipelines, self-service dashboards, and lightweight tools. The ideal candidate is skilled in database design, conducts advanced analytics using AI, SQL and Python, and thrives in ambiguous, fast-paced environments where defining the right questions is as important as finding the answers.

    Key job responsibilities

    • Design, build, and maintain scalable data models and ETL pipelines to support business-critical reporting and analytics
    • Develop self-service dashboards and visualization tools that enable stakeholders to make data-driven decisions independently
    • Design and build AI-powered analytics applications that enable natural language querying of complex datasets
    • Integrate Large Language Models (LLMs) with business intelligence platforms to create intelligent, conversational analytics experiences
    • Leverage AI/ML technologies to automate analytical workflows and generate actionable insights at scale
    • Partner with operations, engineering, and leadership teams to translate ambiguous business problems into well-defined analytical frameworks
    • Write complex SQL queries and Python scripts to extract, transform, and analyze large-scale datasets
    • Build replicable tools and methods that democratize data access across the organization
    • Define and track key performance indicators (KPIs) to measure business health and identify improvement opportunities
    • Communicate analysis results and techniques clearly and confidently to both technical and non-technical audiences through written documents and presentations
    • Recognize and adopt best practices in reporting and analysis: data integrity, test design, validation, and documentation

    A day in the life

    Amazon Benefits:

    Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

    1. Medical, Dental, and Vision Coverage

    2. Maternity and Parental Leave Options

    3. Paid Time Off (PTO)

    4. 401(k) Plan

    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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