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

Amazon • Austin, TX

10d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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

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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed