Sr. Business Intelligence Engineer

About the role

Come be a part of a rapidly expanding $50 billion-dollar global business on its trajectory to $100B. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech, retail, and generative AI in the B2B space — developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination, and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential. The Amazon Business Flywheel Inputs (ABFI) Analytics team is looking for a Senior Business Intelligence Engineer to build the measurement, reporting, and analytics foundations that power data-driven decisions and emerging generative AI experiences. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find and buy products and services across multiple devices and marketplaces. Our team owns the measurement and analytics strategy for key AB problems including price optimization, selection expansion, operational excellence, and AI-powered customer experiences. Amazon Business is one of Amazon's fastest-growing business sectors. We need builders who can think big, dive deep, and translate complex data into actionable business insights. Come work with us if you are customer-obsessed, analytical, and excited about making history.

Responsibilities

• Designing, implementing, and maintaining scalable reporting solutions, dashboards, and analytics frameworks that provide visibility into key business and product performance metrics.
• Partnering with Scientists, Product Managers, Software Engineers, and business stakeholders to define KPIs, establish measurement methodologies, and develop trusted source-of-truth datasets for decision‑making.
• Building and maintaining robust reporting pipelines, automated data validation processes, and monitoring mechanisms to ensure accuracy, consistency, and timeliness of business insights.
• Developing scalable data models, semantic layers, and self‑service analytics solutions that enable stakeholders to explore data independently and integrate insights across multiple business domains — including datasets that support AI‑powered analytics and agent experiences.
• Driving deep‑dive analyses, root‑cause investigations, and opportunity sizing exercises to uncover actionable insights and influence strategic business decisions.
• Designing executive‑facing visualizations, business reviews, and performance reporting mechanisms that communicate complex findings through clear data storytelling.