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Amazon Sr Business Intelligence Engineer AWS Analytics Engineering 
United States, Washington, Seattle 
137637091

13.04.2025
DESCRIPTION


Key job responsibilities
• Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
• Design and implement large scale reporting solutions enabling stakeholders to manage the business and make effective decisions.
• Design and implement robust data models to automate generation of data driven actionable insights across multitude of AWS services.
• Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.
• Recognize and use advanced analytical techniques to recommend prescribed/ optimized courses of action to users.
• Define and drive team analytical strategy to best support business leaders and executives’ strategic decisions.
•. Apply automation so that with every iteration on a problem, you build your solution to have maximum scale and self-service ability by stakeholders
• Employ Gen AI, segmentation, forecasting and other analytical techniques to capture important trends
• Mentor junior engineers on the team with industrial standards and best practices.

BASIC QUALIFICATIONS

- • Bachelor's Degree in Information System, Computer Science, or a related technical field.
- • 8+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- • 5+ years of experience with data visualization using Tableau, Quicksight, or similar tools
- • 5+ years of experience with data modeling, warehousing and building ETL pipelines


PREFERRED QUALIFICATIONS

- • Experience with AWS technologies such as EC2, DynamoDB, S3, and Redshift
- • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- • Extensive experience working directly with business leadership and executives.