Sr. Business Intelligence Engineer, AWS Marketplace

AI in this role

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.

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

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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.

USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually

How we rate this

Sr. Business Intelligence Engineer, AWS Marketplace at Amazon rates 28 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.