Sr. Business Intelligence Engineer, AWS GDSP A&I

About the role

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.

Responsibilities

• 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
• Create 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
• 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

Requirements

• 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

Qualifications

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

Skills

• Strong business acumen
• Deep analytical background
• Ability to communicate effectively across multiple technical and non-technical business units
• Collaborative relationship building
• Automated analytical tool development
• Data architecture expertise
• Operational process improvement
• Ad-hoc analysis execution
• New mechanism and business process architecting

Benefits

Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.