BI Engineer I - AWS Analytics & Dashboards

Amazon Web Services (AWS); Seattle (WA); On-site; USD 82,000 - 144,000; Full time

Job summary

AWS Global Network Delivery Services in Seattle is seeking BI Engineers and Data Engineers who turn operational data into decision-ready dashboards. You will design data models, build reliable pipelines, and deliver self-service analytics for hundreds of teams.

You will collaborate with business stakeholders to gather requirements, implement dashboards using SQL, Python, Redshift, S3, and QuickSight, and ensure data quality.

Qualifications

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
• Experience with scripting language (e.g., Python, Java, or R)

Responsibilities

• Gather requirements for reporting and analysis, translate into queries, data models, and dashboards
• Build and maintain datasets, ETL pipelines, and dashboards using SQL, Python, and AWS tools such as Redshift, S3, and QuickSight
• Follow team standards for code reviews, data quality checks, documentation, and monitoring
• Run pipeline health checks, investigate data issues, and find the root cause
• Analyze data to answer business questions and clearly explain findings to stakeholders
• Use data contracts consistently and identify gaps or inconsistencies in source data
• Try out AI tools and new approaches to speed up analysis
• Keep learning from code reviews and share knowledge with the team

Skills

Data analysis

SQL & Python

Data visualization tools

Scripting languages

Education

Master's degree in a relevant field

Advanced technical degree

Tools

Redshift

S3

QuickSight

Job description

AWS Global Network Delivery Services in Seattle is seeking BI Engineers and Data Engineers who turn operational data into decision-ready dashboards. You will design data models, build reliable pipelines, and deliver self-service analytics for hundreds of teams.

You will collaborate with business stakeholders to gather requirements, implement dashboards using SQL, Python, Redshift, S3, and QuickSight, and ensure data quality.