DescriptionAWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small
- and mid-market accounts to enterprise-level customers including public sector.
The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Partner Analytics & Reporting Knowledge (PARK) team, within the AWS Specialists & Partners Operations Org (ASP Ops), has an immediate need for a creative and driven Sr Business Intelligence Engineer (BIE). Key job responsibilities As a Sr Business Intelligence Engineer on this team, you will design and build agentic reporting solutions that go beyond static dashboards — creating intelligent, extensible data artifacts that surface actionable insights autonomously. You will embed deeply with business stakeholders across the AWS Partner organization to understand their highest-priority questions, then engineer reporting workloads that answer those questions proactively, at scale. You are technically versatile (ETL, Python, SQL, visualization) and relentlessly focused on business impact. Your deliverables will accelerate the partner organization by identifying key drivers behind top-line metrics and translating them into clear next steps for sales and leadership teams. Key Job Responsibilities Build agentic reporting solutions — Design, develop, and operate intelligent reporting workloads that autonomously generate, refresh, and distribute actionable data artifacts across the partner organization. Create extensible, actionable data artifacts — Engineer centralized reporting assets (metrics, dashboards, automated analyses) built for reuse by peer BI teams, with clear interfaces and scalable architecture. Get closer to the business — Partner directly with executive leadership and geographically based sales teams to deeply understand their operating rhythms, KPIs, and decision points, then build reporting that maps precisely to those needs. Drive insight-to-action — Go beyond descriptive reporting: proactively surface recommendations grounded in statistical analysis, cross-referenced data sources, and industry benchmarks. Own metrics and standardization — Define, develop, and maintain business-critical metrics and reports across all business levers, KPIs, and financials; drive alignment and consistency across global sales teams and executive reporting. Advance AI/ML-powered reporting — Apply Generative AI and agentic AI patterns to raise the bar on reporting automation, insight generation, and stakeholder self-service across the partner organization. Provide thought leadership — Lead global business deep dives, communicate findings to executive management, and shape the analytical strategy for the organization. Inform data infrastructure — Provide data engineering teams with functional and technical requirements to improve pipeline efficiency, data quality, and the extensibility of the underlying data platform. Partner cross-functionally — Collaborate with engineering, product, business, and finance teams to create KPIs, measurement methodologies, and scalable analytical frameworks. A day in the life Your primary focus is building intelligent, agentic reporting solutions that put the right insight in front of the right person, without anyone having to ask for it. You'll work closely with executive leadership and geographically based sales teams to understand the questions they're actually trying to answer, then design central reporting that answers those questions proactively and at scale. The people you build for are busy; they need data that tells them what to do next, not just what happened last quarter. A big part of the role is making sure the things you build are reusable. Other BI teams across the organization will pick up your reporting artifacts and plug them into their own workflows, so you'll spend real time thinking about how to structure outputs so they're extensible and self-serve. You'll also go beyond the regular reporting scope; when there's a trend worth investigating or a metric that doesn't look right, you dig in, pull together the story, and bring it to leadership with a clear recommendation. This is a hands-on technical role. You'll write Python, build automated pipelines, and apply AI to make reporting smarter over time. But it's equally a people role; you'll need to translate between technical and non-technical audiences comfortably, and you'll regularly present findings to senior leaders. If you like solving ambiguous problems, care about the "so what?" behind the data, and want to shape how a large organization makes decisions, this is a great fit. About the team The Partner Analytics & Reporting Knowledge (PARK) team is a centralized, analytics, and agentic reporting team within ASP Ops. We are a team of builders designing the next generation of intelligent, extensible reporting solutions, powered by agentic workloads, that drive measurable action for executive leadership and geographically based sales teams. We sit at the intersection of data engineering, business strategy, and applied AI, building automated mechanisms that bring the right insight to the right stakeholder at the right time. We build for the long term, obsess over making data artifacts genuinely actionable, and stay tightly connected to the business to ensure every deliverable moves the needle. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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 Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 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 in the cloud. Standardized SMGS Flywheel Tagline Statement AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small
- and mid-market accounts to enterprise-level customers including public sector.
The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small
- and mid-market accounts to enterprise-level customers including public sector.
The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Basic Qualifications
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Knowledge of data warehousing and data modeling
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Familiarity with LLMs and their application in solving real world business problems.
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience mentoring an engineering community on complex technical issues
- Experience with AI/ML technologies
- Experience designing and operating agentic reporting workflows Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, CA, Mountain View
- 149,900.00
- 202,800.00 USD annually USA, NY, New York
- 143,400.00
- 194,000.00 USD annually USA, TX, Austin
- 130,400.00
- 176,300.00 USD annually USA, WA, Seattle
- 130,400.00
- 176,300.
00 USD annually
