Amazon Senior Business Intel Engineer Everyday Essentials - Subscribe Save 

United Kingdom, England, London 

223802859

Key job responsibilities
• Holistically architecting an end-to-end BI solutions, including reporting, analysis & insights for the SnS business. This includes building and harvesting datasets, data pipelines, application of custom logic, data visualization & story-telling to provide greater customer value.
• Creating new reporting to inform business reviews, deep dive analyzer tools, and more emerging strategy efforts.
• Improving auditing tools to understand relevant inputs and identify gaps in technology systems to support creation of new capabilities to provide customer value.
• Building insights-oriented visualization tools in Quicksight or Tableau to enhance existing ways to empower WW SnS team and 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 SnS teams as well as the central data 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.
• Influence and develop team members through skills development and management.
• Understanding the value chain within the broader Amazon.com site experience to inform new insights on customer engagement.
• Developing a knowledge repository for SnS data intelligence as part of an evolving center of excellence that can be referred to outside of the SnS business.

- 7+ years of experience working with large-scale complex datasets
- Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
- Strong working knowledge of SQL, Python, Tableau (or Amazon Quicksight)
- Strong working knowledge of AWS cloud, Redshift, AWS Andes, Glue
- Background (academic or professional) in statistics, programming, and marketing
- Graduate degree in math/statistics, computer science or related field is highly desirable.
- Excellent communication skills, equally adept at working with engineers as well as business leaders