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. This role, based in North America, will focus on Business Analytics and Business Intelligence related to Private Pricing Deals.

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 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

• Ability to communicate effectively across multiple technical and non-technical business units, as well as across other geographies
• Collaborative relationship-building skills
• Ability to solve data problems, implement new reporting solutions, and deliver successfully against high operational standards
• Highly motivated individual that seeks to “tell the story” of the data with little direction or supervision

Benefits

Amazon offers comprehensive benefits including health insurance, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

Pay

Base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

Schedule

Full-time position.