Principal Supply Chain Data Engineer & Analytics Lead

📋 Description

• Develop and maintain scalable supply chain data models, pipelines, and structures for reporting and
• Extract, transform, validate, and integrate data from ERP, MRP, DRP, WMS, WCS, TMS, planning
• Build reliable analytical datasets with consistent information across supply chain functions.
• Design dashboards, scorecards, visualizations, and management reports translating data into clear
• Analyze large datasets to identify trends, risks, improvement opportunities, and performance
• Develop predictive analytics, simulations, optimization models, ML applications, and AI-enabled

🎯 Requirements

• Bachelor’s degree in Supply Chain, Engineering, Data Science, CS, Information Systems, Business
• 5+ years in supply chain analytics, data engineering, BI, operations analytics, consulting, or
• Proven ability to transform large datasets into actionable insights and recommendations.
• Experience extracting and analyzing data from ERP platforms and supply chain systems.
• Strong understanding of end-to-end supply chain processes (demand planning, supply planning, MRP
• Advanced proficiency with SQL, Python, R, Alteryx, Power Query, or similar data tools.

🎁 Benefits

• Starting salary range $145,000–$165,000, with incentive eligibility.
• Medical, dental, and vision insurance; disability and life insurance.
• 401(k) with company match; tuition reimbursement; holidays, vacation, and sick time.
• Well-being and employee support benefits.
• Remote work within the United States; opportunity to influence large-scale transformation through
• Exposure to complex cross-functional challenges across planning, logistics, inventory, warehousing