The Selling Partner Trust & Integrity organization's North Star vision ensures that while bad actors are effectively blocked, legitimate selling partners can build and grow their businesses without disruption, fostering trust and confidence in Amazon's store integrity worldwide. Within this framework, the Selling Partner Support Operations (SPTO) Registration and Compliance Escalations Support (RCES) team manages high-priority escalations across executive, legal, PR, and regulatory channels.
RCES team's scope encompasses multiple verification, compliance and Regulatory programs. Through close partnership with product, tech, and operations teams, RCES provides comprehensive resolution on escalations while conducting detailed Root Cause Analysis (RCA) where required. Beyond immediate issue resolution, through Close Loop Mechanism (CLM) program RCES plays a crucial role in improving the selling partner experience by identifying process gaps and developing and tracking effective, scalable solutions to prevent similar issues from arising in the future.
About the Role:
We're seeking a highly analytical Business Analyst to join our RCES team to analyze complex business decisions, develop workflow tools, and transform large-scale datasets into actionable insights through dashboards and automated solutions. The ideal candidate will have strong SQL proficiency and experience with visualization tools like Quicksight, Tableau, or Power BI, along with the ability to work across multiple data platforms including AWS. This role requires someone who can design effective data schemas, leverage internal AI tools to automate root cause documentation and VOS data summarization, while collaborating with Business Intelligence and Data Engineering teams. The position demands expertise in handling real-time and near real-time data, strong problem-solving skills, and the ability to elevate our technical capabilities while working with our distributed analytics team to drive process improvements through automation and data-driven solutions.