Remote Principal: Supply Chain Data & Analytics Lead

Scorpion Therapeutics; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Scorpion Therapeutics is seeking a Principal Supply Chain Data Engineer and Analytics Lead to drive transformation through data modeling, analytics, and AI-enabled insights. You will build scalable pipelines, dashboards, and predictive tools to optimize planning, inventory, and fulfillment.

Ideal candidates have 5+ years in analytics or data engineering, strong SQL/Python/R skills, and experience with ERP systems. Remote US-based work with cross-functional collaboration will be essential.

Qualifications

• Bachelor's in supply chain, engineering, data science, or related.
• 5+ years in supply chain analytics, data engineering, or consulting.
• Proficiency with SQL, Python, R, Power BI, Tableau, and ERP systems (SAP, Oracle).
• Strong understanding of end-to-end supply chain processes including demand planning, inventory, logistics, and fulfillment.
• Excellent communication and problem-solving skills, especially in fast-paced environments.

Responsibilities

• Develop scalable data pipelines and models from enterprise systems.
• Create dashboards, scorecards, and predictive tools.
• Analyze complex supply chain data to identify risks, opportunities, and operational improvements.
• Support decision-making with AI-enabled insights.
• Collaborate with IT to enhance data infrastructure and governance.
• Promote process automation and standardization.

Skills

SQL

Python

R

Power BI

Tableau

Communication

Problem Solving

Education

Bachelor's in supply chain, engineering, data science, or related

Tools

SAP

Oracle

Kinaxis

Blue Yonder

Manhattan

Job description

Scorpion Therapeutics is seeking a Principal Supply Chain Data Engineer and Analytics Lead to drive transformation through data modeling, analytics, and AI-enabled insights. You will build scalable pipelines, dashboards, and predictive tools to optimize planning, inventory, and fulfillment.

Ideal candidates have 5+ years in analytics or data engineering, strong SQL/Python/R skills, and experience with ERP systems. Remote US-based work with cross-functional collaboration will be essential.