AWS Marketplace and Partner Services (AMPS) is seeking a Senior Business Intelligence Engineer to own analytics end to end for the Marketplace's highest-visibility product launches and build the trusted, reusable data foundations that power the next generation of self-service and agentic tooling across the org. This is not a reactive, dashboard-centric BI role. You'll drive the shift toward prescriptive analytics that shapes organizational strategy, and set the technical and analytical standards the team builds on. You'll join the Product Analytics team, the trusted business partner and subject-matter expert on both the Marketplace business and the data that measures it.
Key job responsibilities
- Owning complex, ambiguous analytical problems end to end, from the underlying data models through the insights that inform leadership decisions
- Owning analytics for high-visibility, VP-tracked launches: telemetry design, attribution methodology, day-one metrics, and post-launch funnel analysis
- Building standardized, reusable reporting infrastructure so onboarding a new launch is a configuration change, not weeks of custom work
- Designing trusted, secure data foundations (metric layers, data dictionaries, and a semantic layer) that power agentic analytics
- Leading strategic deep dives on loosely defined questions and delivering leadership-ready narratives with a recommended path forward
- Influencing product and engineering on upstream data requirements so data is analytics-ready by design
- Authoring leadership-facing narratives and presenting insights directly to senior stakeholders
- Mentoring junior BIEs and codifying analytical patterns into standards the team adopts
About the team
The Product Analytics team sits within the AWS Marketplace and Partner Services (AMPS) organization. We are the trusted business partner and subject-matter expert on both the AWS Marketplace business and the data that measures it. We partner with AMPS product and engineering to deliver agentic tooling, dashboards, and insights that enable data-driven decision making.
BASIC QUALIFICATIONS
- 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
- 5+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Bachelor's degree or foreign equivalent in statistics, data science, or an equivalent quantitative field
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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