Amazon Business Intelligence Engineer GS & - Operational Excellence 

United States, Washington, Seattle 

101124063

Key job responsibilities
• Develop and maintain data models and schemas for Page0 data, entitlement model data, propensity model data, and other relevant data sources.
• Contribute to the design and implementation of a centralized data warehouse architecture, ensuring scalability, performance, and data integrity.
• Collaborate with data engineers and architects to ensure alignment between data models and the underlying data infrastructure.
• Establish and enforce data governance policies and procedures to maintain data quality, consistency, and integrity for Page0 data, entitlement model data, and propensity model data.
• Implement data quality controls, monitoring, and reporting mechanisms to ensure data accuracy and reliability.
• Continuously monitor data quality, identify issues, and collaborate with relevant teams to implement remediation measures as needed.
• Build interactive dashboards and visualizations to present key metrics and insights for Page0, entitlement models, and propensity models.
• Develop self-service analytics and reporting capabilities, enabling users to explore and analyze data independently.
• Collaborate with business users to understand their analytical requirements and translate them into effective visualizations and reports.
• Conduct enterprise-wide data discovery and profiling to identify potential data sources and understand their characteristics.
• Analyze data sources for relevance, quality, and potential integration into the BI ecosystem.
• Develop comprehensive training materials and documentation for Page0 data, analytics, and reporting tools.
• Provide training and support to business users, ensuring effective adoption and utilization of BI solutions.
• Continuously monitor data quality and optimize data flows to ensure efficient and reliable data delivery.
• Stay up-to-date with emerging BI technologies, tools, and best practices, and propose enhancements or new solutions to improve the organization's BI capabilities.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- 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 BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
- Experience writing complex SQL queries