Bachelor's or Master's degree in Business, Data Science, Supply Chain, Engineering, or a related field; equivalent professional experience will be considered.
Minimum of 5+ years of experience in data analytics, analytics engineering, process improvement, or supply chain operations, with a demonstrated scope as a leader or senior individual contributor.
Expert-level proficiency in SQL for sophisticated data querying, manipulation, and robust pipeline development.
Strong proficiency in Python for automation, complex data modeling, and application logic development.
Hands-on experience building and operating production analytics experiences within Databricks, including interactive reporting and dynamic operational dashboards.
Proven ability to utilize AI-powered development environments (e.g., Cursor, GitHub Copilot) to design, build, and maintain critical business automation and analytical pipelines.
Comfort and experience working with Git-based collaboration tools (e.g., GitHub) for version control, collaborative code review, and repeatable deployment processes.
Track record of effectively translating complex, multi-dimensional supply chain data into clear, actionable narratives for both highly technical and non-technical audiences.
Demonstrated experience leading end-to-end process improvement or transformation initiatives, encompassing discovery, design, implementation, and change management.
Excellent Excel skills for in-depth data analysis and comprehensive reporting.
