Business Intelligence Engineer II, AWS DC Central Operations

What you'll do

• Build and maintain QuickSight dashboards, reports, KPIs, and metric layers for operations teams.
• Develop and present data-driven recommendations and business review narratives to stakeholders and senior leaders.
• Design Amazon Q topics and datasets, use GenAI analytics tools, and train analysts in BI and self-service capabilities.

What they ask for

• 3+ years analyzing and interpreting data, including experience with Redshift, Oracle, NoSQL, etc.
• 3+ years in the job offered or a related occupation; at least 1 year in SQL, ETL, or Oracle, processing large multidimensional datasets from multiple sources, statistical analysis, and automated reporting.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
• Experience with data visualization; data modeling, warehousing, and ETL pipelines; statistical analysis packages; and SQL and Python for data processing.

Nice to have

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
• Experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets.

Pay

USD 99,500.00 - 160,000.00 annually (base salary)

Tools

QuickSight, Amazon Q, SQL, ETL, Oracle, Redshift, Python, Tableau

AI focus

Use Amazon Q, natural language query interfaces, and retrieval-augmented analytics as primary job tools; design Amazon Q topics and datasets for self-service analytics and train analysts in GenAI capabilities.