Data-Driven Supply Chain Forecast Analyst

Remote Jobs; Scottsdale (AZ); Hybrid; USD 80,000 - 110,000; 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 turn data into insights that drive smarter planning and decision-making across our supply chain.

This role will develop and enhance forecasting models, analyze trends and business performance, and partner with Procurement, Finance, Product Management, and other key functions to improve forecasting accuracy, optimize processes, and strengthen overall supply chain performance.

Qualifications

• Bachelor's degree required; 5+ years in Supply Chain, Forecasting, Business Analysis or related area.
• Experience developing, maintaining forecasting models and providing actionable insights.

Responsibilities

• Develop and maintain forecasting models by product, period, and supplier.
• Analyze trends and variances; prepare market analyses for procurement and sourcing decisions.
• Collaborate with Procurement, Finance, and Product Management to improve forecasts and planning tools.
• Drive process improvements to standardize analysis across the organization.
• Create presentations for Executive Committee-level meetings translating data into insights.

Skills

Forecasting

Data analysis

Supply chain

Analytical thinking

Communication

Project management

Time management

Cross-functional collaboration

Education

Bachelor's degree in Business or Supply Chain

Master's degree in Business or Supply Chain (preferred)

Tools

SAP

Excel

PivotTables

Forecasting software

Job description

Sigma Foods is seeking an experienced Supply Chain Analyst to turn data into insights that drive smarter planning and decision-making across our supply chain.

This role will develop and enhance forecasting models, analyze trends and business performance, and partner with Procurement, Finance, Product Management, and other key functions to improve forecasting accuracy, optimize processes, and strengthen overall supply chain performance.