Business Intelligence Engineer, WWPS Tech Team Ops

Description

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.

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.

• 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.

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.

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