This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.
The Business Intelligence Engineer enables data-driven decision making by delivering trusted reporting frameworks, deep-dive analyses, and self-service analytics tools - including AI-powered agents and semantic layers - that scale insight delivery across the organization. This role combines subject matter expertise in data modeling, metric standardization, and cross-domain business context to ensure stakeholders receive accurate, actionable information at the right time. BIEs translate complex data into stakeholder-ready narratives, partner cross-functionally with Product, Engineering, and Data Engineering teams to ensure comprehensive telemetry and data quality, and proactively surface insights and risks that inform strategic planning and business reviews.
Key job responsibilities
In this role you sit at the intersection of question and answer - architecting the intelligent systems that transform raw data into on-demand, business-ready insight. This role designs and deploys agentic data experiences, semantic models, and automated frameworks that allow AWS Marketplace & Partner Services stakeholders to securely inspect data conversationally, at scale, and with trust. Rather than producing static reports, the BIE encodes deep subject matter expertise - metric definitions, cross-domain context, and business logic - directly into AI-consumable systems that reason, validate, and deliver answers.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ 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
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- 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
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 https://amazon.jobs/en/benefits.
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually
