Business Intelligence Engineer I, Rapid and Rural Logistics

The Rapid & Rural Logistics (R2L) team at Amazon is seeking a Business Intelligence (BI) Engineer to join their Automation Team. This role focuses on supporting high-growth specialty fulfillment operations, including Sub Same Day (SSD), Rural Super Rural (RSR), and Amazon Today delivery businesses. The position combines technical expertise in data analysis, visualization, and automation with strategic business impact.

As a BI Engineer, you'll be responsible for automating operational processes, providing analytical insights, and developing solutions using dashboards, macros, scripts, and SQL. The role requires collaboration with delivery teams, operations teams, and cross-functional stakeholders to drive innovation in operational management.

The ideal candidate should possess strong analytical and problem-solving skills, with experience in data visualization tools like QuickSight and Tableau, data modeling, ETL processes, and scripting. You'll work in a fast-paced environment where flexibility and autonomous decision-making are crucial.

Key responsibilities include designing and implementing automation solutions, building data visualization tools, and developing processes that enhance operational efficiency. You'll need to balance technical expertise with strong stakeholder management skills, as you'll be working closely with business teams to understand their needs and deliver effective solutions.

The role offers competitive compensation based on geographic location, with additional benefits including equity, sign-on payments, and comprehensive medical and financial benefits. This is an excellent opportunity for a data professional who enjoys solving complex problems and wants to make a significant impact on Amazon's delivery operations.

The position requires a minimum of 2 years of experience in data analysis and visualization, making it ideal for someone looking to grow their career in business intelligence while working on meaningful projects that directly impact Amazon's customer experience.