Sr. Business Intelligence Engineer, AWS GDSP A&I

Description

Do you share a passion to make customers successful? Do you believe that a deep understanding of customer and business priorities can transform an organization? Are you excited to discover and solve business challenges through data analytics and business intelligence (BI) solutions? Do you thrive in a dynamic environment working with diverse teams to achieve a common goal?

The Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations. This role, based in North America, focuses on Business Analytics and Business Intelligence related to Private Pricing Deals, requiring broad technical skills, strong business acumen, and a deep analytical background to provide performance reporting, actionable insights, and decision support.

• Lead sales executive discussions to share insights, challenge status quo, and provide forward‑looking recommendations that enable strategic decision‑making and accelerate Private Pricing growth
• Design and maintain continuously‑evolving business analytics frameworks and data models; own quantitative analysis of sales team performance, customer behavior, deal dynamics, partner ecosystems, market trends, and product effectiveness
• Develop deep expertise in sales metrics, reporting tools, and data architectures to proactively identify and resolve data quality issues, deliver actionable intelligence, and design new metrics, dashboards, and analytical tools
• Build collaborative relationships with sales, finance, sales operations, and cross‑functional teams to identify reporting gaps and implement solutions
• Design and deploy automated analytical tools and reports that streamline business reviews, annual planning, and forecasting processes
• Create operational templates and standardized processes that consolidate disparate data sources into unified reporting frameworks and consistent metrics tracking
• Execute complex ad‑hoc analyses by extracting and synthesizing data from multiple management systems, delivering timely recommendations with measurable business impact
• Architect new mechanisms and business processes that simplify operations, standardize workflows, and drive operational excellence across the organization

• 10+ years of professional or military experience
• 5+ years of SQL experience
• Experience programming to extract, transform and clean large (multi‑TB) data sets
• Experience with theory and practice of design of experiments and statistical analysis of results
• Experience with AWS technologies
• Experience in scripting for automation (e.g., Python) and advanced SQL skills
• Experience with theory and practice of information retrieval, data science, machine learning, and data mining

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.