Full Time Amazon Business Intelligence Engineer Jobs

Amazon Web Services (AWS) World-Wide Public Sector (WWPS) Reporting and Analytics team is seeking a Business Intelligence Engineer to support our Global Sales & Operations organizations. In this role, the ideal candidate will be responsible for analyzing datasets to identify actionable insights delivered through AI agents, chat bots, and narratives, while developing and maintaining production-level Quick dashboards and apps for the WWPS Tech Team organization. Additionally, this role will involve writing and debugging SQL queries to conduct deep-dive analyses in support of business decisions. This individual will collaborate with external reporting business units to support large-scale development efforts and work closely with project management teams to ensure proper guidance, use cases, and documentation are available to our Sales and Operations teams.
Key job responsibilities
Key responsibilities of the Business Intelligence Engineer role include:
- 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
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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 experience
PREFERRED 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 - 99,500.00 - 160,000.00 USD annually