Amazon Sr Business Intelligence Engineer LeeP & VMP 

United States, Washington, Seattle 

491602015

Key job responsibilities
• Engage across product, tech, and finance teams to lead the data strategy powering growth and savings for the VMP program.
• Collaborate with science teams to build out pack size prediction models leveraging ML and Amazons wide array of catalog + sales data.
• Work with tech to design data structures that can scale to support reporting needs and analysis of a rapidly expanding program growing over 100% YoY.
• Perform deep dives to help make business recommendations that guide the product strategy and long-term vision.
• Build, own, and maintain WBR and reporting mechanisms used by 300+ users across Amazon.
• Support WW expansion to new marketplaces.
• Holistically architecting an end-to-end BI landscape that activates reporting, analysis & insights for the VMP program that includes building and harvesting datasets, data pipelines, ETL, application of custom logic, data visualization & storytelling to drive the business forward.
• Improving auditing tools to understand relevant inputs and identify gaps in technology systems to support creation of new capabilities to drive business operating leverage.
• Building insights-oriented visualization tools in Quicksight or Tableau to enhance existing ways of work for product managers, program managers, finance partners, and stakeholder partner teams.
• Challenging existing process and work streams with data-driven insights that offer alternatives that are cost neutral, or favorable, but drive much more scalable execution.
• Partnering across the Everyday Essentials tech teams as well as the central Data Engineering team to create an intelligence roadmap that addresses core areas for automation, scale, and business financial productivity.
• Scaling roadmap and solutions across categories by ensuring cross-company impact is measured and supported by stakeholder businesses.
• Understanding the value chain within the broader Amazon.com site experience to inform new insights on customer engagement.
• Developing a knowledge repository for VMP data intelligence as part of an evolving center of excellence that can be referred to outside of the VMP business.

- 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
- - Strong working knowledge of AWS cloud, Redshift, AWS Andes, Glue
- - Background (academic or professional) in statistics, programming, and marketing