Business Intelligence Engineer II, Leo Supply Chain

Key job 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

Basic Qualifications

• 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

Preferred 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