Amazon Web Services (AWS) · 3 days ago
Business Intelligence Engineer, AWS Analytics and Data Solutions (ADS)
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Responsibilities
Design, develop, and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. to support business needs.
Apply deep analytic and business intelligence skills to extract meaningful insights from large and complicated data sets.
Be hands-on with ETL to build data pipelines for automated reporting.
Serve as a liaison between business and technical teams to provide actionable insights and ad hoc analyses.
Build data visualizations to communicate business trends and patterns.
Adopt best practices in reporting and analysis including data integrity, test design, and documentation.
Qualification
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Required
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience writing complex SQL queries
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Preferred
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in Statistical Analysis packages such as R, SAS and Matlab
Benefits
Medical benefits
Financial benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
Funding
Current Stage
Late StageLeadership Team
Recent News
2024-06-01
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