Analyze large and complex supply chain datasets to identify trends, operational risks, cost-saving opportunities, and performance improvement areas.
Develop predictive models and optimization algorithms using AI and machine learning techniques to support supply chain decision-making.
Collaborate with engineering and product teams to integrate analytics, models, and data-driven capabilities into supply chain platforms.

Requirements:

Bachelor's or Master's degree in Supply Chain Management, Data Science, Engineering, or a related discipline.
1–3 years of relevant professional experience in supply chain analytics or data analysis.
Strong technical capabilities in Python, SQL, and data visualization platforms such as Tableau or Power BI.

Benefits:

Fully remote work arrangement.
Opportunity for professional growth across supply chain analytics, data science, AI/ML, and cloud technologies.
Cross-functional exposure working with Supply Chain, Finance, Procurement, R&D, engineering, and product teams.