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Job Details
Posted date: Apr 28, 2026
There have been 277 jobs posted with the title of Business Intelligence Engineer all time at Amazon.There have been 277 Business Intelligence Engineer jobs posted in the last month.
Location: Seattle, WA
Estimated salary: $113,150
Range: $82,300 - $144,000
Description
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 Specialist and Partners (ASP) organization sits at the heart of this mission, working with partners to extend the reach and impact of AWS globally.The Partner Analytics and Reporting Knowledge (PARK) Team has an immediate need for a creative and driven Business Intelligence Engineer (BIE). PARK is a centralized BI team within the ASP Operations BI organization, chartered to transform structured and unstructured data into actionable business insights for the ASP. We identify internal and external business signals, research their impacts, and deliver contextualized reporting tailored for Agentic delivery to specific customer personas.
The right candidate will be innovative and technically versatile. They will have the opportunity to work in a fast-paced cloud sales organization within Amazon, using a vast warehouse of data to find actionable insight and key drivers behind the ASP's most visible metrics. This candidate should be an expert in the architecture and implementation of data processing solutions using multiple platforms. They should excel in the design, creation, management, and business use of extremely large datasets. The role requires excellent business and communication skills to work effectively with fellow BIEs, Operations leads, and Sales stakeholders to consult as a reporting subject matter expert and provide innovative reporting solutions.
The ability to learn new technology, develop deep understanding of how the ASP operates and its latest strategic priorities, and contribute to the development of Agentic reporting tools is critical to the role.
Key job responsibilities
Explore and learn the latest AWS technologies and contribute to the team's Agentic reporting development initiatives.
Implement data pipelines from disparate sources to ingest, transform, and store data in a scalable format that other BI builders can leverage for similar metrics.
Gather and understand data requirements by working with cross-functional teams to achieve high-quality and scalable data solutions for our products and mechanisms.
Dive deep into requirements to unearth optimal reporting design (e.g., key dimensions, broadest reporting audience, scalability) with Operations leads and drive constructive technical discussions.
Build end-to-end BI solutions, from data sourcing through visualization and enablement.
Determine data lineage to understand the chain of custody and transformation of data, and build enablement material that scales the impact of your solutions.
Create interactive data visuals with QuickSight, and other AWS-native visualization tools.
Contribute to the curation and maintenance of centralized knowledge repositories and sources of truth for Partner metrics.
Support Executive Reporting (Organizational Level 1-4) including in-depth analyses and standardized reporting sources for ASP LT, SMGS LT, and S-Team reporting.
Participate in causation/correlation research ("finding the Why") to provide proactive insight into trends, churn drivers, and actionable levers.
A day in the life
You will build scalable reporting artifacts used across the ASP Partner Organization, partnering with Line of Business BI Teams to tell the Partner ecosystem story. You will create trusted data artifacts and Agentic flows, act as an SME on top-line metric drivers, and communicate actionable insights to both technical and non-technical stakeholders. You will contribute to Agentic reporting development, knowledge curation, and causation research — building reporting that is transparent, precise, and tailored for the personas who consume it.
About the team
PARK (Partner Analytics and Reporting Knowledge) is a BI team within the ASP Operations BI organization. PARK consists of Business Intelligence Engineers (BIEs), Product Managers - Technical (PMTs), and Technical Program Managers (TPMs). The team is chartered to establish long-term reporting solutions, operational frameworks, and business insights for the AWS Partner Organization.
Our scope includes Executive Reporting (OL 1-4), Centralized Finance Functions, Partner Executive Goals, Centralized Knowledge Curation and Agentic Reporting Development, Geo Team Reporting (AMER, EMEA, APJ), Centralized Metrics Definition, and Causation/Correlation Research.
Members of this team will be challenged to innovate using the latest big data techniques and contribute to Agentic reporting tooling. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you are autonomous and love to implement solutions to complex problems while working hard, having fun, and making history, this may be your opportunity.
Members of this team will be challenged to innovate use the latest big data techniques. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you are autonomous and love to implement solutions to complex problems while working hard, having fun, and making history, this may be your opportunity.
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.
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.
Qualifications
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Familiarity with Agentic AI concepts, LLMs, or Generative AI tooling in a BI context
Extended Qualifications
- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- Experience working in a Sales Operations analytics environment
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 - 82,300.00 - 144,000.00 USD annually