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
• 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

Requirements

• 10+ years of professional or military experience
• 5+ years of SQL, ETL or Oracle 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 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
• 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 5+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in Statistical Analysis packages such as R, SAS and Matlab

Qualifications

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• Experience leading process improvements
• Experience managing competing priorities across a wide range of stakeholders
• Experience with iterative, agile development methodologies (including scrum)
• 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