Business Intelligence Engineer II, Rapid and Rural Logistics

We are looking for a Business Intelligence Engineer to own and evolve our portfolio of QuickSight dashboards, Airflow-orchestrated data pipelines, and algorithmic data products. You'll partner with LPE program managers, operations leaders, and scientists to translate workforce development questions into
automated, self-service analytics that directly impact associate safety, training compliance, and operational efficiency.

Key job responsibilities
- Dashboard Development & Maintenance — Design, build, and maintain QuickSight dashboards across workforce domains including training compliance, onboarding health, labor sharing/cross-training, associate performance, and leader learning
- Data Pipeline Engineering — Build and optimize Airflow DAGs that refresh dashboards on intraday schedules (up to 4x/day), ensuring data freshness and reliability for operational decision-making
- Algorithm & Data Product Development — Develop and maintain data products such as ranking algorithms (LSXT UTR), labor allocation optimization, and dynamic headcount targeting models that feed directly into operational tools
- Metric Onboarding — Onboard and maintain metrics in platforms like Perfect Mile for SSD buildings
- Data Quality & Monitoring — Own pipeline health monitoring, alerting, and incident response for Sev 3 production dashboards
- Stakeholder Partnership — Work directly with LPE program teams to translate business requirements into scalable analytical solutions, supporting programs like Ambassador Scorecard, Associate Training Violations, and Roles Management
- Integration Across Data Sources — Join and transform data from KNET, Formulate, QE (Qualification Engine), Umbrella, Qualtrics, and LATIS into unified analytical views

A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan  

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team
The Learning, Performance & Engagement (LPE) Technical Solutions team within R2L Analytics builds and maintains 20+ production dashboards, data pipelines, and algorithmic products that power workforce training, labor allocation, and associate performance across Amazon's fulfillment network.

Our tools serve operations leaders across SSD, RSR, and GSF businesses — driving decisions around training compliance, cross-training, onboarding health, and labor optimization at scale. Everything we build refreshes multiple times per day and operates at Sev 3 support levels.

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
- 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field

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, Bellevue - 99,500.00 - 160,000.00 USD annually