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

Skills

• Strong communication and collaboration skills
• Ability to work independently and manage multiple projects simultaneously
• Proficiency in data analysis and interpretation
• Experience with BI tools and platforms
• Knowledge of AWS services and architecture

Benefits

Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.

Pay

Base salary range for this position is listed below. Final compensation will vary based on factors including experience, qualifications, and location.

• USA, MA, Boston - 130,400.00 - 176,300.00 USD annually
• USA, NY, New York - 143,400.00 - 194,000.00 USD annually
• USA, TX, Austin - 130,400.00 - 176,300.00 USD annually
• USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually

Schedule

Full-time position.