Principal Supply Chain Data Engineer & 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

Role

Principal Supply Chain Data Engineer and Analytics Lead, driving supply chain transformation through data modeling, analytics, and insights.

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

Requirements

• 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 familiarity with ERP systems (SAP, Oracle, etc.)
• 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

Preferred

• experience supporting logistics transformation, warehouse optimization, and working in regulated industries such as medical devices or pharmaceuticals
• knowledge of supply chain platforms like Kinaxis, Blue Yonder, or Manhattan
• certifications in data analytics, supply chain management, or Lean Six Sigma

Location

U.S. remote.