Data-Driven Supply Chain Analyst: Demand & Supplier

Congregation Ohev Shalom; Villa Rica (GA); On-site; USD 60,000 - 90,000; Full time

Job summary

Corvant is seeking a Supply Chain Analyst to power purchasing decisions by analyzing material demand, supplier performance, and inventory trends across projects. You will partner with cross-functional teams to turn data into actionable reporting and dashboards.

The role requires 2–4 years of analyst experience, strong Excel and data visualization skills, and the ability to translate data into clear business recommendations for leadership.

Qualifications

• Bachelor's degree in supply chain management, business analytics, finance, or related field preferred.
• 2–4 years of analyst experience in supply chain, procurement, or related industry.
• Strong Excel skills required; experience with Power BI, Tableau, or similar data visualization tools preferred.
• Experience working with ERP or procurement system data.

Responsibilities

• Analyze historical purchasing and project data to forecast material demand across the project pipeline.
• Monitor inventory levels and turns across locations; identify excess or shortage risk.
• Build and maintain supplier performance scorecards; develop dashboards and recurring reports for leadership.
• Identify cost-saving opportunities through data analysis and present findings to stakeholders.
• Support sales and operations planning with data-driven demand and supply insight.
• Analyze market and commodity pricing trends to inform sourcing strategy.

Skills

Analytical thinking

Communication skills

Data interpretation

Problem solving

Education

Bachelor's degree in supply chain management / Business Analytics / Finance

Tools

Power BI

Tableau

ERP systems

Job description

Corvant is seeking a Supply Chain Analyst to power purchasing decisions by analyzing material demand, supplier performance, and inventory trends across projects. You will partner with cross-functional teams to turn data into actionable reporting and dashboards.

The role requires 2–4 years of analyst experience, strong Excel and data visualization skills, and the ability to translate data into clear business recommendations for leadership.