Description

Do you have a passion for customer experience and a mindset for data-driven problem solving? Do you excel in dynamic, fast-paced environments and find joy in converting data into actionable insights? Are you adept at implementing data governance practices, defining data access and quality standards, and using AI to modernize analytics platforms? Do you enjoy innovating at speed to deliver scalable analytics solutions? If so, then Central Programs Analytics has an exciting opportunity for you!

Key job responsibilities
As a Business Analyst in this team, you will be a thought leader in Amazon Sort Centers and work with talented program managers, product managers, operations, and business leaders to design the Amazon network of the future. This position requires analytical thinking and the ability to solve large ambiguous problems by applying analytics and technical expertise to rapidly analyze, validate, visualize, prototype, and deliver solutions.
This position requires significant cross-functional collaboration with transportation, tech, operations, and finance teams. We are looking for a detail-oriented, highly analytical, innovative, and customer-obsessed Business Analyst who will create best-in-class solutions for the middle mile network, delivering high quality customer experiences while minimizing cost and improving fulfillment speed.
This role requires you to drive cross-functional initiatives and understand the long-term requirements of all programs that leverage sort centers. The ideal candidate will have strategic thinking abilities, analytical acumen, and communication skills with the ability to thrive in ambiguous situations and deliver results independently.

A day in the life
As a Business Analyst, your key daily responsibilities will include:
- Participate in projects and sprint planning to drive project execution
- Design data warehouse solutions and develop ETL/datalake pipelines
- Monitor system performance and data quality metrics to ensure optimal operations
- Conduct stakeholder meetings and present insights to senior leadership
- Manage multiple concurrent projects while maintaining delivery timelines
- Implement and maintain data governance standards and best practices
- Drive architectural decisions for scalable data solutions and continuous improvement