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2 months ago
We are seeking a highly skilled Business Intelligence Engineer to join our team at Amazon Web Services. As a key member of our organization, you will be responsible for developing and implementing data models, data governance frameworks, and interactive dashboards and visualizations to drive data-driven decision-making across the organization.
Key Responsibilities- Develop and Maintain Data Models: Design and implement data models and schemas for Page0 data, entitlement model data, propensity model data, and other relevant data sources.
- Centralized Data Warehouse Architecture: Contribute to the design and implementation of a centralized data warehouse architecture, ensuring scalability, performance, and data integrity.
- Data Governance and Quality: 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.
- Data Quality Monitoring and Reporting: Implement data quality controls, monitoring, and reporting mechanisms to ensure data accuracy and reliability.
- Interactive Dashboards and Visualizations: Build interactive dashboards and visualizations to present key metrics and insights for Page0, entitlement models, and propensity models.
- Self-Service Analytics and Reporting: Develop self-service analytics and reporting capabilities, enabling users to explore and analyze data independently.
- Collaboration and Training: Collaborate with business users to understand their analytical requirements and translate them into effective visualizations and reports. Provide training and support to business users, ensuring effective adoption and utilization of BI solutions.
At Amazon Web Services, we value diverse experiences and encourage candidates from all backgrounds to apply. We are a total compensation company, offering a full range of medical, financial, and other benefits. Our team is committed to creating a culture of inclusion and empowerment, where everyone can thrive and grow.
Requirements- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- 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
