Job description

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. 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. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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 We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll 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, there’s nothing we can’t achieve. - 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 - 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 amazon.jobs for more information. If the country/region you’re applying in isn’t 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 amazon.jobs . USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually

Requirements

Must-haves

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
Diverse Experiences
Inclusive Team Culture
Mentorship & Career Growth
Work/Life Balance
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
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.
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually

Nice-to-haves

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Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awssqlpython

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave