Business Intelligence Engineer, Everyday Essentials Replenishment

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

Basic Qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually