ML Capacity BI Engineer – AWS Data Insights

Amazon; Herndon (VA); On-site; USD 100,000 - 160,000; Full time

Job summary

Amazon is seeking a Business Intelligence Engineer II for the ML Capacity Delivery team. The role focuses on building data foundations, reporting systems, and analytics to guide planning and delivery of ML capacity across AWS data centers.

You will transform complex operational data into actionable insights, create dashboards, and collaborate with cross-functional teams to drive delivery velocity and efficiency within a fast-paced environment.

Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

Responsibilities

• Design, develop, and maintain scaled, automated, user-friendly systems, reports, and dashboards for ML capacity delivery tracking and decision-making.
• Build and optimize data pipelines for ETL from diverse sources across AWS infrastructures using SQL, Python, and big data tech.
• Apply analytics to extract insights related to capacity delivery timelines, supply chain logistics, and deployment.
• Collaborate with program managers, systems engineers, and operations teams to translate requirements into scalable data solutions.
• Create visualizations that tell the story of ML capacity delivery performance for stakeholders at all levels.

Skills

SQL

ETL

Data visualization

Python

Tableau

Quicksight

Data modeling

Big data

Redshift

AWS

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or related field

Tools

Tableau

Quicksight

Oracle

NoSQL

Job description

Amazon is seeking a Business Intelligence Engineer II for the ML Capacity Delivery team. The role focuses on building data foundations, reporting systems, and analytics to guide planning and delivery of ML capacity across AWS data centers.

You will transform complex operational data into actionable insights, create dashboards, and collaborate with cross-functional teams to drive delivery velocity and efficiency within a fast-paced environment.