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. You9ll 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 customers9 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 CXI 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. You9ll end the day collaborating with teammates for next iteration of our central data model.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 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
- Experience in the data/BI space
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
