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Business Intelligence Engineer , Customer Experience and Business Trends

Amazon.com Inc
  • Seattle, WA
    5 days ago

    Job Description

    Amazon"s Customer Experience and Business Trends (CXBT) organization is hiring a Business Intelligence Engineer for its Benchmarking, Economics, Analytics and Measurement (BEAM) team. BEAM turns fragmented internal and external data into decision-grade intelligence for senior leaders across Amazon.

    This role anchors our Intelligence Engine initiative: the layer that makes BEAM"s data and analytical depth pluggable into agent-based surfaces. Rather than building one-off dashboards, you"ll build a curated data catalog and reusable analytical assets, then expose them to LLM agents through MCP (Model Context Protocol) servers and skills so that stakeholders can ask questions in natural language and get trustworthy, deterministic answers grounded in BEAM"s data.

    We"re looking for a strong BIE who is genuinely excited about the agentic/GenAI shift and understands the mechanics behind it, not just the buzzwords. You should be comfortable designing the data and tooling that make an LLM agent reliable: clean metric stores, well-defined tools/skills, MCP interfaces, and guardrails that keep the agent from hallucinating numbers.

    Key job responsibilities

    • Build and maintain the curated data catalog and reusable foundation/metric tables that power BEAM"s Intelligence Engine.
    • Design and implement MCP servers and skills that expose BEAM data and analyses to LLM agents for natural-language querying (Text-to-SQL, metric lookup, retrieval).
    • Build deterministic query and metric layers so agents cite and route to real data rather than estimating - including refusal/guardrail behavior for out-of-coverage requests.
    • Develop ETL pipelines and data models (SQL, Python) that turn raw internal + third-party data into analysis-ready assets.
    • Partner with data scientists, economists, and product managers to translate recurring analytical needs into reusable, self-service capabilities.
    • Instrument evaluation and observability so we can measure and improve agent answer quality over time.

    About the team

    CXBT is a group of diverse functions dedicated to understanding, improving, and influencing customer experience globally, across all of Amazon. We are builders who develop products, services, and data-driven approaches that shape offerings for nearly every Amazon business and customer type - consumers, developers, sellers, brands, employees, investors, streamers, and gamers. We work backwards from customer needs, combine technical and non-technical methods, and track industry and business trends. Our roles span Product Managers, Data Scientists, Economists, Business Intelligence Engineers, Data Engine, Applied Scentist, and Product Manager.

    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

    • Analysis Skillsunmatched
    • Benchmarkingunmatched
    • Business Intelligenceunmatched
    • Customer Experienceunmatched
    • Data Analysisunmatched
    • Data Modelingunmatched
    • Data Scienceunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Economic Analysisunmatched
    • Gamingunmatched
    • Industry/Trade Analysisunmatched
    • MCP - Microsoft Certified Professionalunmatched
    • Machine Toolunmatched
    • Metricsunmatched
    • Product Developmentunmatched
    • Product Managementunmatched
    • Python Programming/Scripting Languageunmatched
    • Quality Managementunmatched
    • Reporting Dashboardsunmatched
    • SQL (Structured Query Language)unmatched
    • Salesunmatched

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