Sr. Business Intelligence Engineer, WWPS RACE
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About the role
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.
Requirements
- 7+ years of finance, business management and sales operations experience
- 5+ years of business analyst, data analyst or an equivalent role experience
- 7+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Bachelor's degree in Business Administration, Fina
- 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 identifing 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
- mentor peers on bi best practices including visualization design, query optimization, and self-service analytics enablement
Additional Information
Amazon Web Services (AWS) World-Wide Public Sector 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 developing and maintaining production-level Amazon QuickSight dashboards and analyzing datasets to identify actionable trends for the sales 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 Sr. Business Intelligence Engineer role include: - Owning the the lifecycle of QuickSight dashboards from requirements gathering through deployment and ongoing maintenance - 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 identifing 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 - Mentor peers on BI best practices including visualization design, query optimization, and self-service analytics enablement 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 dashboards, define organizational metrics, and deliver insights that drive business outcomes across public sector customers worldwide. Our team operates at the intersection of business intelligence, data engineering, and stakeholder enablement - partnering closely with sales leaders, operations teams, and cross-functional business units to ensure the right data reaches the right people at the right time.
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