Business Intelligence Engineer, WWPS Reporting and Analytics Center of Excellence (RACE)

Enterprise reporting is changing. Static dashboards and scheduled PDFs are giving way to interactive, AI-augmented experiences that let leaders explore their business the way they think (conversationally, visually, and in the flow of their work). We"re hiring a BIE who can build those experiences.

In this role with the WWPS Reporting and Analytics Center of Excellence (RACE) team you"ll sit at the intersection of business intelligence, data engineering and frontend engineering: pulling the right data, shaping it for the question being asked, and then building the interface itself (the web app, the interactive visual, the AI-assisted narrative) rather than handing a dataset off to someone else to render. If you"ve ever finished a SQL query and thought "the BI tool is the wrong canvas for this," this role is for you.

Key job responsibilities

• Design and build interactive reporting experiences as lightweight web applications (HTML/CSS/JS, React or similar).
• Build and consume serverless APIs (AWS API Gateway, Lambda, Python) that feed governed data to those applications.
• Contribute to and maintain component and integration tests covering rendering, state behavior, and full user flows.
• Model and transform data (SQL, Python) to power those experiences
• Integrate generative AI capabilities (LLM-driven summarization, natural-language querying, narrative generation) into reporting surfaces where they add real signal.
• Use AI-assisted development tooling to accelerate delivery, and help the team establish effective practices for it.
• Partner with data engineers, product managers, and business leaders to translate ambiguous reporting needs into shipped, usable tools.
• Contribute to design and component systems so your work aligns with the rest of the team"s.

A day in the life

RACE builds the reporting infrastructure and analytical capabilities behind data-driven decisions across our global Sales and Operations organizations.

A typical day moves between layers: a morning writing a SQL model that reshapes an operational dataset for a new leader-facing view, an afternoon building a React component that lets that leader drill from a metric tile into an AI-generated narrative of the underlying drivers, and a late-day code review on the shared component library. The role rewards people who enjoy getting both the data and the experience right in the same day, partnering with sales leaders and operations teams.

About the team

About AWS

Diverse Experiences

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