Sr Business Intelligence Engineer, AWS Marketplace & Partner Services

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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.

- 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.

- 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

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 WA Seattle - 130400.00 - 176300.00 USD annually