Business Intelligence Engineer , Amazon Customer Service

Amazon.com Inc

Nashville, TN

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Automation, Business Intelligence, Customer Experience, Customer Support/Service, Customer/Client Research, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Database Extract Transform and Load (ETL), Instrumentation, Interface Programming Languages, Leadership, Metrics, Operations Planning, Organizational Development/Management, Performance Metrics, Process Improvement, Product Engineering, Prototyping, Reporting Dashboards, Resolve Customer Issues, Root Cause Analysis, Scalable System Development, Scorecarding, Standards Development, Statistics, Strategic Analysis, Team Player
LOCATION
Nashville, TN
POSTED
30+ days ago

How do we measure and improve the experience of hundreds of millions of Amazon customers across every step of their journey - from placing an order to receiving a delivery to resolving a return? How do we turn fragmented signals into a single source of truth that drives real change?

We are the Customer Experience Improvement Data and Analytics (CXIDA) team - the central analytics hub for Amazon"s Customer Experience Improvement (CXI) organization. We build the foundational data infrastructure, standardized metrics, and intelligent tools that power how Amazon understands and improves customer experience at global scale. If you"re looking to work on problems that directly impact hundreds of millions of customers and drive measurable outcomes, this is the team.

We are looking for a Business Intelligence Engineer (BIE) who is passionate about using data to solve customer problems. In this role, you will build the instrumentation, metrics frameworks, and analytical solutions that enable CXI teams to measure customer experience across all major journeys - including Delivery Experience, Returns & Refunds, Pre-Order, Payments, and Self-Service Automation. You"ll develop scalable data products, contribute to AI-powered insight generation, and partner with product managers and engineers to translate customer pain points into data-driven action. The right candidate is curious, technically strong, and motivated by the opportunity to build systems that make a tangible difference in customers" lives.

Key job responsibilities

  • Design, build, and maintain scalable data pipelines and ETL processes that integrate data across multiple customer journey touchpoints - including delivery, returns, refunds, and pre-order systems
  • Develop and operationalize standardized KPIs (e.g., Perfect Delivery Rate, Click-to-Deliver, Promotional Error Rate) across customer journeys, ensuring consistent measurement and trusted reporting for business reviews
  • Build and enhance executive dashboards (Page 0, xBR) and self-service analytical tools that provide real-time visibility into customer experience metrics for leadership and journey pod teams
  • Contribute to AI and LLM-powered analytics solutions, including automated insight generation and natural language interfaces for data exploration
  • Partner with product managers, data engineers, and scientists across five CXI pillars to translate business questions into analytical frameworks and deliver actionable insights
  • Support experimentation measurement by contributing to standardized Weblab impact frameworks, including instrumentation, statistical analysis, and reporting
  • Participate in building and extending the central data model - consolidating disparate data sources into a unified, governed layer that eliminates redundancy and ensures data integrity

A day in the life

As a Business Intelligence Engineer on the CXIDA team, start your morning reviewing the health of data pipelines that power our KPI Hub, then shift focus to summarize return defect for a Business Review. After lunch, you could be prototyping an LLM-driven deep dive that helps journey teams identify root causes of contact spikes without filing manual data requests. You"ll end the day collaborating with teammates for next iteration of our central data model.

About the team

The CXIDA team is the strategic analytics hub for Amazon"s Customer Experience Improvement organization. Our mission is to deliver unified, actionable data and intelligence that drives measurable improvements in customer experience across all journeys.

Together we build everything from executive scorecards to AI-powered insight bots. We believe in building once and deploying everywhere, automating over manual effort, and enabling platforms rather than delivering one-off analyses. We value intellectual curiosity, learn from diverse perspectives, and invest in each other"s growth. You"ll join a collaborative group that"s shaping how Amazon understands and improves the customer experience at a global scale.

About the Company

A

Amazon.com Inc

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
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles