Sr. Business Intelligence Engineer, AWS GDSP A&I

Amazon Web Services (AWS) · Boston, MA · 5 days ago

AnalystFull-time

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 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

Benefits