Strategic Supply Chain Forecasting Analyst

SIGMA; United States; Remote; USD 90,000 - 125,000; Full time

Benefits offered by this job

401(k)

Dental insurance

Health insurance

Paid time off

Vision insurance

Employee assistance program

Job summary

Sigma Foods is seeking an experienced Supply Chain Analyst to transform data into insights that drive smarter forecasting and decision-making across the supply chain. The role focuses on forecasting model development, trend analysis, and collaboration with Procurement, Finance, and Product Management to improve forecasting accuracy and supply chain performance.

Ideal candidates bring strong forecasting experience, analytical mindset, and the ability to translate complex data into actionable

Qualifications

• Bachelor’s degree in Business, Supply Chain, or a related field.
• Five (5) years of experience in Supply Chain, Forecasting, Business Analysis, Project Management, or a related area.

Responsibilities

• Develop, maintain, and enhance forecasting models by product, period, and supplier.
• Analyze period results and identify key variances; monitor and forecast performance against plan.
• Prepare market analyses to support procurement and sourcing decisions.
• Collaborate with Procurement and Finance to identify trends and address forecast impacts.
• Develop and maintain supplier and plant scorecards to monitor performance.

Skills

Analytical skills

Data interpretation

Communication

Problem solving

Cross-functional collaboration

Forecasting experience

Education

Bachelor’s degree in Business or related field

Master’s degree preferred

Tools

SAP

Forecasting software

Job description

Sigma Foods is seeking an experienced Supply Chain Analyst to transform data into insights that drive smarter forecasting and decision-making across the supply chain. The role focuses on forecasting model development, trend analysis, and collaboration with Procurement, Finance, and Product Management to improve forecasting accuracy and supply chain performance.

Ideal candidates bring strong forecasting experience, analytical mindset, and the ability to translate complex data into actionable