Sr. BIE, GenAI Economics and Analytics
Seattle, OR - USA
Job Summary
In this role you will invent and scale metrics that measure customer adoption and habituation and build agentic automated analytical workflows that enable fast repeatable deep dives. A BIE typically wears many hats but this role weights the science side of the craft more heavily. You will help shape the product roadmap and investment decisions in a fast-moving GenAI space.
The ideal candidate operates effectively in ambiguity exercises strong business judgment on high-impact one-way-door decisions and continuously raises the bar for analytical rigor and operational excellence. You will work cross-functionally with product science engineering and economics partners to deliver results for customers.
Key job responsibilities
Build and maintain the reporting layer and knowledge graph that power our in-house conversational analytics agent.
Partner with product teams to define and maintain the KPIs behind go/no-go product decisions.
Invent operationalize and publish scalable metrics and dashboards that surface actionable insights enabling data-driven product growth and executive decision-making.
Partner closely with Product and Engineering to raise the bar on how we log and model customer engagement data.
About the team
The Alexa for shopping Analytics team focuses on understanding how GenAI-powered shopping tools are transforming customer behavior across the shopping lifecycle - from inspiration and problem-solving to product research selection purchase and post-purchase support. We build the foundational measurement frameworks that enable teams to evaluate performance identify what AI experiences resonate most with customers and uncover opportunities for improvement. Our work directly influences customer-centric product roadmap decisions and helps scale impactful high-quality AI shopping experiences
- 10 years of professional or military experience
- 5 years of SQL 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
- 5 years of as a Data Analyst Data Engineer Business Intelligence Analyst or a related occupation experience
- Bachelors degree or foreign equivalent in Computer Science Engineering Mathematics Statistics Economics or a related field
- Experience with AWS technologies
- Experience with theory and practice of information retrieval data science machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
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
Required Experience:
Senior IC
About Company
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