Business Intelligence Engineer, WWPS Reporting and Analytics Center of Excellence (RACE)

Design and build interactive reporting experiences as lightweight web applications (HTML/CSS/JS, React or similar).

• Build and consume serverless APIs (AWS API Gateway, Lambda, Python) that feed governed data to those applications.
• Contribute to and maintain component and integration tests covering rendering, state behavior, and full user flows.
• Model and transform data (SQL, Python) to power those experiences
• Integrate generative AI capabilities (LLM-driven summarization, natural-language querying, narrative generation) into reporting surfaces where they add real signal.
• Use AI-assisted development tooling to accelerate delivery, and help the team establish effective practices for it.
• Partner with data engineers, product managers, and business leaders to translate ambiguous reporting needs into shipped, usable tools.
• Contribute to design and component systems so your work aligns with the rest of the team’s.

1+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience

• Bachelor’s degree or above in computer science, engineering, analytics, mathematics, statistics, IT or equivalent, or Bachelor’s degree in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent
• Experience in writing SQL queries and creating business intelligence reports using Tableau, Power BI
• 1+ years of professional or project experience building web interfaces with HTML, CSS, and JavaScript, including at least one project using a modern framework (React, Vue, Svelte, or equivalent)., Experience designing for accessibility and inclusivity
• Experience contributing to serverless backends on AWS - API Gateway, Lambda, and Python
• Experience contributing to front-end unit and integration tests (Jest, React Testing Library, Playwright, or Cypress) and maintaining them in a continuous integration pipeline
• Familiarity with data visualization libraries (D3, Recharts, Observable Plot, Vega) and the judgment to know when to reach for them vs. a BI tool.
• Experience integrating LLM APIs (Anthropic, OpenAI, Bedrock) into a product surface
• Experience working with AI-powered development tools (e.g., AI-assisted IDEs, code generation tools, or similar). Candidates should be comfortable leveraging AI tooling to accelerate their workflows and be able to speak to how they’ve integrated these technologies into their day-to-day work

RACE builds the reporting infrastructure and analytical capabilities behind data-driven decisions across our global Sales and Operations organizations.

A typical day moves between layers: a morning writing a SQL model that reshapes an operational dataset for a new leader-facing view, an afternoon building a React component that lets that leader drill from a metric tile into an AI-generated narrative of the underlying drivers, and a late-day code review on the shared component library. The role rewards people who enjoy getting both the data and the experience right in the same day, partnering with sales leaders and operations teams.

About the team 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., 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, VA, Arlington - 82,300.00 - 144,000.00 USD annually USA, VA, Herndon - 82,300.00 - 144,000.00 USD annually

Enterprise reporting is changing. Static dashboards and scheduled PDFs are giving way to interactive, AI-augmented experiences that let leaders explore their business the way they think (conversationally, visually, and in the flow of their work). We’re hiring a BIE who can build those experiences.

In this role with the WWPS Reporting and Analytics Center of Excellence (RACE) team you’ll sit at the intersection of business intelligence, data engineering and frontend engineering: pulling the right data, shaping it for the question being asked, and then building the interface itself (the web app, the interactive visual, the AI-assisted narrative) rather than handing a dataset off to someone else to render. If you’ve ever finished a SQL query and thought “the BI tool is the wrong canvas for this,” this role is for you.