Business Intelligence Engineer II, Leo Supply Chain

About the role

As a Business Intelligence Engineer (BIE) within Leo Hardware Supply Chain, you will implement and maintain effective analytics solutions that drive data-informed decisions to streamline the production of Leo's satellite technology. You will focus on creating efficient, maintainable, and well-documented processes for data analysis and reporting.

Responsibilities

• Collaborate with cross-functional and cross-organizational teams to understand business needs and implement data-driven solutions that enable better decision making
• Define and track key metrics and performance indicators to monitor performance and drives continuous improvement across Leo operations
• Execute analytical approaches to uncover new insights and share recommendations that improve productivity
• Design and build robust, self-service reporting solutions that scale across the organization
• Write complex, performant SQL queries and develop efficient data pipelines to support both recurring and ad-hoc analytical needs
• Build and maintain data infrastructure in collaboration with BIEs/DEs, focusing on improving data quality and availability
• Communicate analytical findings and methodology to diverse stakeholders through clear documentation and presentations
• Lead technical initiatives and actively share knowledge with team members, supporting analytics best practices
• Maintain awareness of AI/ML advancements (especially around LLMs and GenAI) and propose new technologies for team consideration

Requirements

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 1+ years of processing large, multi-dimensional datasets from multiple sources experience
• 1+ years of performing statistical analysis experience
• 1+ years of developing automated reporting experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Qualifications

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

Benefits

Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.