Sr. Business Intelligence Engineer, ASP Ops - WWSO Sales & Biz Ops

Amazon • Austin, TX

18h • Onsite

About The Position

We are seeking a Sr. Business Intelligence Engineer with a strong BI engineering background, familiar with maintaining large data sets, building datasets for analysis, identifying key business insights, and working with stakeholders to define and measure success. This role requires a technical expert with significant scope and impact, who will work with Sales Operation Leaders, Product Managers, and other business users to understand business requirements and implement reporting solutions. The ideal candidate must be able to earn trust and communicate effectively across multiple technical and non-technical business units in a global organization, possessing a keen sense of ownership, collaboration, and a desire to learn. Passion for bringing large datasets together to answer business questions and drive change is essential.

In this role, you will own the design and delivery of data products that drive how Specialists measure performance and prioritize customer engagements. You will help drive the team's adoption of AI and Agentic technologies, designing and building autonomous agents, RAG pipelines, and multi-agent orchestration frameworks that transform how the organization consumes and acts on data. You will help define the technical vision for the team's data platform and Agentic AI roadmap. You will raise the technical bar through code reviews, design reviews, and sharing best practices.

The right candidate has deep experience in SQL and data modeling, hands-on proficiency with AWS data and analytics services, and direct experience building with LLMs, Agentic Frameworks, and RAG architectures. You are comfortable translating ambiguous business questions into structured data products and communicate clearly with both technical and non-technical audiences.

Requirements

• 10+ years of professional or military experience
• 5+ years of SQL experience
• Experience programming to extract, transform and clean large (multi-TB) data sets

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
• Master's degree in statistics, data science, or an equivalent quantitative field
• Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
• Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
• Experience visualizing data in Tableau or other relevant data visualization software
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in computer architecture

Responsibilities

• Architect and develop scalable and resilient data solutions, using both traditional dashboards and AI Agents, enabling self-service business intelligence for analytics users.
• Build ETL pipelines, statistical models, and machine learning solutions using large, multidimensional datasets to uncover trends, patterns, and opportunities.
• Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes.
• Collaborate with product managers, engineers, data scientists, and business stakeholders to understand strategies, goals, and objectives, and align the analytics roadmap accordingly.
• Design and implement end-to-end reporting solutions, metrics, dashboards, and automated processes to drive key business decisions and track progress.
• Perform complex analyses to inform product strategy, design, and business priorities, presenting insights and recommendations to senior leadership.
• Continuously improve reporting and processes, automating and scaling solutions while ensuring stability and performance.
• Identify opportunities for new metrics, techniques, and strategies to enhance targeting, measurement, and overall product capabilities.
• Stay up-to-date with industry trends and best practices, contributing to the team's evolution through Agentic AI.

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
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior