Owning the the lifecycle of Amazon Quick assets (i.e., agents, apps, dashboards) and data pipelines from requirements gathering through deployment and ongoing maintenance
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.
Performing root-cause analyses and deep dives using SQL to answer complex business questions from sales leadership
Serving as a subject matter expert on reporting data models, metrics definitions, and organizational KPIs
Translating ambiguous business requests into structured analytical approaches and scalable reporting solutions
Coordinating cross-functionally with external business units to align on shared data standards and delivery timelines for large initiatives
Proactively identifying gaps in existing reporting coverage and proposing solutions to address emerging business needs
Develop and maintain technical documentation including data dictionaries, dashboard user guides, and runbooks A day in the life The World-Wide Public Sector Reporting and Analytics Center of Excellence (RACE) builds the reporting infrastructure and analytical capabilities that empower our global Sales and Operations organizations to make data-driven decisions.

We design scalable analytic solutions using AI, define organizational metrics, and deliver insights that drive business outcomes across public sector customers worldwide. Our team operates at the intersection of business intelligence, AI, data engineering, and stakeholder enablement — partnering closely with sales and tech leaders, operations teams, and cross-functional business units to ensure the right data reaches the right people at the right time. 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. Basic Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
3+ years of SQL, ETL or Oracle experience
3+ years of processing large, multi-dimensional datasets from multiple sources experience
3+ years of in the job offered or a related occupation experience
3+ years of developing automated reporting experiencePreferred Qualifications
Experience using Python scripting to process data for modeling
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage 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, VA, Arlington

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Business Intelligence Engineer, WWPS Tech Team Ops