Description

Amazon is one of the world’s most customer-centric companies, constantly inventing on behalf of customers. We are looking for a Senior Business Intelligence Engineer to join the UTR BI (Under-the-Roof Business Intelligence) team within AMZL.

UTR BI supports 9+ business lines across Amazon’s last-mile and fulfillment ecosystem. We are building analytical agents with conversational interfaces, lightweight applications, and automation-first experiences that help planners and operators ask better questions, get faster answers, and make higher-quality decisions. This role is central to that vision: building both the data foundation and the agentic architecture that powers these experiences.

As a Senior BIE, you will design and build analytical agents end-to-end, including defining agentic architectures, sub-agents, and orchestration patterns for tasks such as metric interpretation, attribution, anomaly detection, and workflow automation. You will own the underlying data models, pipelines, and semantic layers that enable agents to reason reliably over complex labor-planning data. You will partner closely with product, science, and engineering teams to translate ambiguous business problems into scalable, automated, and explainable analytical systems.

The ideal candidate thrives in ambiguity, is passionate about automation and clean system design, and enjoys building from first principles. You will write high-quality SQL and scripts, define reusable analytical primitives, and work directly with customers to ensure agents deliver decision-ready insights. Success in this role requires strong communication, deep technical judgment, ownership, and a builder mindset.

If you’re excited about defining and building agent-powered analytics at Amazon scale starting from the data layer up, this is the role for you.

Key job responsibilities
- 7+ years of industry experience using SQL for large-scale data modeling, pipeline design, and analytical architecture in complex production environments.
- 7+ years of industry experience with advance scripting languages for data wrangling, exploratory data analysis (EDA), automation, and model evaluation.
- Proven ability to perform advanced statistical analysis to uncover trends, patterns, and actionable insights from large, multi-dimensional datasets; familiarity with clustering techniques is a plus.
- Experience creating clear, compelling data visualizations and dashboards to communicate insights to both technical and non-technical audiences.
- Hands-on experience with AWS analytics services such as Redshift, QuickSight, or equivalent cloud-based data and BI platforms.
- Strong collaboration skills with the ability to work closely with product, engineering, and business partners to translate ambiguous problem statements into well-defined technical requirements and scalable, data-driven solutions.
- Excellent verbal and written communication skills, including the ability to succinctly summarize complex analyses, tell a clear data story, and influence decisions across technical and business stakeholders.
- Demonstrated ability to stay ahead of the curve on emerging analytics and AI platforms, including evolving QuickSuite capabilities, and thoughtfully apply them to solve real customer and business problems.

A day in the life
Your day will be an exciting blend of technical creativity and strategic problem-solving. You'll collaborate with cross-functional teams to develop sophisticated analytical agents, design intricate data models, and create automation solutions that transform complex business challenges into clear, actionable insights.

About the team
We are a dynamic group of data professionals dedicated to supporting multiple business lines within Amazon's fulfillment ecosystem. Our mission is to create intelligent, conversational analytical tools that enable faster, more informed decision-making. We value innovation, collaboration, and the ability to translate complex data into meaningful solutions.