Amazon Business Intelligence Engineer Reputation Marketing & Insights 

United States, Texas, Arlington 

981645716

Key job responsibilities
• Design and maintain automated reporting, dashboards, and analyses to enable our team to increasingly self-serve data needs
• Produce clear and compelling ad hoc charts and visual narratives tailored to specific business questions or communication needs
• Own the data pipeline and automation processes supporting Amazon’s global brand perception tracking program
• Look around corners to identify and execute on future-facing, data-related strategic opportunities
• Identify opportunities to simplify existing research processes and operate more nimbly
• Collaborate closely with researchers, data scientists, and communication leads to translate insights into action
• Partner with cross-functional teams to evolve our tech stack and BI infrastructure in line with growing program needs
• Scale learnings and insights to other teams in CCR and the broader Amazon marketing and communications community

- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in Computer Science, Information Systems, or other technical degree
- 3+ years of data engineering, database engineering, business intelligence or business analytics experience
- Knowledge of a scripting language (Python, R, etc.)
- Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations
- Experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround, or experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines
- Experience communicating to senior management and customers verbally and in writing
- Experience with statistical techniques used for survey design and analytics (e.g., Chi-square, regression)
- Proven ability to work in an interdependent team and develop processes at scale