Senior Business Intelligence Engineer, Under-the-Roof Business Intelligence

Amazon is one of the worlds 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 Amazons 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 youre 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. Youll 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 Amazons 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.

- 10 years of professional or military experience
- 8 years of SQL experience
- 1 years of SQL ETL or Oracle experience
- 1 years of processing large multi-dimensional datasets from multiple sources experience
- 1 years of performing statistical analysis experience
- 1 years of developing automated reporting experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
- Knowledge of data warehousing and data modeling

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at TX Austin - 130400.00 - 176300.00 USD annually
USA WA Bellevue - 130400.00 - 176300.00 USD annually