Job Description
The Everyday Essentials Replenishment team is looking for a Business Intelligence Engineer to drive analytics and insights that power one of Amazon"s largest subscription programs, Subscribe and Save (SnS). You will work at the intersection of data engineering, analytics, and product strategy to measure, optimize, and scale the mechanisms that keep millions of customers stocked on their everyday essentials.
In this role, you will own end-to-end analytics for customer-facing AI experiences (Rufus/Alexa for Shopping integration with SnS), build and maintain metrics that measure reorder behavior across Everyday Essentials, and develop data pipelines and dashboards that inform leadership decisions on selection, incentives, and customer engagement. You will partner closely with product managers, software engineers, data scientists, and program managers to translate ambiguous business questions into quantifiable insights and scalable reporting infrastructure.
The ideal candidate is comfortable working across large-scale datasets (billions of records), can build production-grade data pipelines, and thrives in turning messy real-world data into clear narratives that drive action.
Key job responsibilities
- Own analytics for SnS integration with conversational AI surfaces (Rufus, Alexa for Shopping): define success metrics, build measurement frameworks, analyze experiment results, and report on customer engagement and conversion
- Design, build, and maintain automated data pipelines using Andes, Cradle (Spark), and AWS services to support reorder metrics, selection health reporting, and business reviews (WBR/MBR/QBR)
- Develop and maintain QuickSight dashboards and self-service reporting tools used by leadership, product, and category teams
- Define and operationalize P0/P1 reorder metrics that measure program effectiveness across selection, incentives, and customer retention
- Conduct deep-dive analyses on customer behavior, subscription churn, reorder patterns, and program ROI to inform roadmap prioritization
- Partner with science teams on model evaluation and feature development for recommendation and personalization systems
- Contribute to the team"s data architecture strategy, including data modeling, pipeline reliability, and cost optimization
Numbers & Facts
| Location | Seattle, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://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
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
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