Business Intelligence Engineer, Americas
hace 4 semanas
Key Responsibilities:
- Develop robust business intelligence solutions for complex problems, ensuring extensibility and scalability.
- Align work with high-level business objectives to meet the needs of the business.
- Refine data strategies that cut across functional teams, making technical trade-off decisions for long-term and short-term needs.
- Learn and understand Amazon's data resources, knowing how, when, and which to use.
- Support cross-functional teams on the day-to-day execution of projects and initiatives.
- Serve as a liaison between the business and analytics team to provide actionable insights into current business performance and ad-hoc investigations to support future improvements or innovations.
- Drive best practices in operational excellence, data modeling, and analysis, ensuring that BI solutions correctly and efficiently support the business.
- Write high-quality code to retrieve and analyze data and build data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.
About the Role:
- As a Business Intelligence Engineer, you will be part of the Americas Customer Experience team in Amazon's Customer Service organization, which is one of the largest customer service organizations in the world.
- You will work with a talented team of people who are passionate about analytics and accountability, and who believe that world-class BI is critical to our success.
- You will have the opportunity to build and maintain end-to-end data and analytics solutions that drive business insights and reduce defects on behalf of our customers.
Requirements:
- 6+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform, and clean large data sets
- Experience in scripting for automation and advanced SQL skills
- Experience building measures and metrics, and developing reporting solutions
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience managing, analyzing, and communicating results to senior leadership
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
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