Senior Business Analyst, WW FBA Central Analytics

World Wide Fulfillment by Amazon (FBA) enables sellers to outsource order fulfillment to Amazon, leveraging our world-class supply chain and technology to provide customers with the fastest delivery promises and seamless returns. Sellers gain access to Prime and non-Prime customers globally while focusing on their core business.

The WWFBA Central Analytics team is dedicated to building centralized analytics and data engineering infrastructure using GenAI. Our mission is to deliver scalable data solutions that unify sources of truth, bridge gaps, and reduce operational complexity. We drive incremental improvements while advancing towards long-term strategic goals.

We are looking for a Senior Business Analyst to support our next generation of analytics solutions, including a Generative AI-powered insights assistant that transforms how FBA teams access and act on data. This role is critical to ensuring our products deliver accurate, actionable insights that meet the needs of diverse business stakeholders.

You will work at the intersection of business and technology — gathering and validating requirements, designing and refining prompts for our GenAI solutions, and implementing robust feedback loops to continuously improve the insights experience. Your work will ensure that our AI solutions are deeply aligned with business priorities, use cases, and context.

Key job responsibilities
- Develop, test, and refine prompts to improve the quality, accuracy, and business relevance of insights generated by the GenAI assistant.
- Collaborate with data engineers, applied scientists, and program managers to align prompts with data availability and technical constraints.
- Conduct interviews and working sessions to gather business requirements and use cases.
- Validate that the GenAI insights assistant meets business needs through structured UAT and pilots.
- Develop mechanisms to capture user feedback on insights accuracy, usability, and gaps.
- Analyze feedback data to identify patterns and prioritize enhancements for the tech team.
- Translate business processes and needs into clear technical requirements for data engineering and AI development teams.
- Prepare documentation, FAQs, and user guides to support adoption and training.
- Support initiatives to ensure consistent metric definitions and trusted data sources across all GenAI insights outputs.
- Build presentations and reporting artifacts for senior leaders to showcase impact, adoption trends, and areas for improvement.