Jobs · Analyst · New York

Sr. Business Intelligence Engineer, AWS GDSP A&I

Amazon Web Services (AWS) · New York, United States · 3 wk ago
AnalystFull-time

Key job 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

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

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