BI Engineer: ML Capacity Delivery for Global Data Centers

Amazon Web Services (AWS); Seattle (WA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services (AWS) is seeking a Business Intelligence Engineer II to design, build, and scale data pipelines and dashboards enabling ML capacity delivery decisions across AWS infrastructure. You will partner with PMs, systems engineers, and operations teams to translate complex data into actionable insights, develop metrics, and deliver reporting tools for leaders.

The role requires strong SQL, ETL, data modeling, and visualization skills in a fast-paced, inclusive environment with

Qualifications

• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• Experience using SQL to pull data from a database and scripting (Python) for modeling

Responsibilities

• Design, develop, and maintain scaled, automated, user-friendly systems, reports, and dashboards that support ML capacity delivery tracking, planning, and operational decision-making
• Build and optimize data pipelines for ETL from diverse sources across AWS Infrastructure using SQL, Python, and AWS big data technologies
• Apply analytic and BI skills to extract insights from data related to capacity delivery timelines, supply chain logistics, and infrastructure deployment
• Collaborate with program managers, systems engineers, and operations teams to translate requirements into scalable data solutions and reporting capabilities
• Build data visualizations that tell the story of ML capacity delivery performance for stakeholders at all levels
• Design and track key performance metrics measuring health and efficiency of ML capacity delivery operations
• Serve as liaison between business and technical teams to provide actionable insights and ad hoc analyses
• Adopt best practices in reporting: data integrity, test design, analysis, validation, and documentation
• Identify opportunities to improve data quality and automate reporting through predictive analytics

Skills

Redshift

SQL

ETL

Data visualization

Tableau

Quicksight

Python

Data modeling

Data warehousing

Statistical analysis

Education

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

Tools

Tableau

Quicksight

Python

SQL

Job description

Amazon Web Services (AWS) is seeking a Business Intelligence Engineer II to design, build, and scale data pipelines and dashboards enabling ML capacity delivery decisions across AWS infrastructure. You will partner with PMs, systems engineers, and operations teams to translate complex data into actionable insights, develop metrics, and deliver reporting tools for leaders.

The role requires strong SQL, ETL, data modeling, and visualization skills in a fast-paced, inclusive environment with