Automate (in Python, R, or similar tools) highly manual and error-prone jobs currently performed by hundreds of parts advisors, service technicians, and warehouse employees to improve downstream execution, reduce supply chain noise, improve inventory health, and reduce global inventory costs
Lead Channel Planning stock order logistics cost reduction efforts by consolidating international expedite shipments, optimizing routing, and tracking outbound execution
Develop, track, and own reporting metrics to root cause gaps across the supply chain, then work cross-functionally across the Service and Supply Chain organization to close out problems
Project managing and stress testing newly introduced IT systems, including min/max replenishment order generation systems, pick release (allocation of our global inventory), MRP (supply planning and inventory management), and Bill of Distribution (enabling multi-echelon capabilities
Editing, uploading, transferring, and deleting global orders to reduce noise and improve global execution
What You’ll Bring
Degree in Data Analytics, Engineering or Computer Science fields, or relevant experience
Minimum of 4 years of experience or Master +2 years of experience
Proficient in MS Excel and R programming is required, Python, SQL, and data visualization programs such as Tableau are preferred
Highly proficient in automation and analytics
Advanced Excel features like Power Queries and Power Pivots, ETL using My SQL and SQL Server
Tableau dashboard creation
Experience working with Data Frames and Arrays on programming languages such as Python and/or R, building prediction models using Time Series and Machine Learning Techniques as well making interactive visualizations on Python
Excellent written and verbal communication, and comfortable communicating with Senior Management