Sr. Business Intelligence Engineer, Aws Gdsp A&i

Amazon Amazon · Big Tech · Seattle, WA · Business Intelligence

This role focuses on Business Intelligence and Data Analytics for Private Pricing Deals within AWS. It involves creating performance reports, providing insights, building analytical models for hypothesis testing and forecasting, and developing self-service dashboards. The role requires strong SQL, Python scripting, and experience with AWS technologies, with a focus on translating business requirements into data-driven solutions.

What you'd actually do

  1. 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
  2. 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
  3. 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
  4. Build collaborative relationships with sales, finance, sales operations, and cross-functional teams to identify reporting gaps and implement solutions
  5. Design and deploy automated analytical tools and reports that streamline business reviews, annual planning, and forecasting processes

Skills

Required

  • 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

Nice to have

  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership

What the JD emphasized

  • deep analytical background
  • harness your skills to understand business requirements
  • communicate effectively across multiple technical and non-technical business units
  • solve data problems
  • deliver successfully against high operational standards
  • highly motivated individual that seeks to “tell the story” of the data with little direction or supervision
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining