Senior Supply Chain Analytics & Forecasting Consultant

Fractal; Los Angeles (CA); On-site; USD 130,000 - 165,000; Full time

Benefits offered by this job

Health, dental, vision insurance

Life insurance

Disability plan

401(k) plan after 30 days

11 paid holidays

12 weeks parental leave

Free time PTO

Job summary

Fractal Analytics is seeking a Senior Consultant in Business Analytics for Supply Chain in Los Angeles, CA. You will manage client teams, translate data into actionable insights, and develop data-driven solutions addressing demand forecasting, inventory and logistics challenges.

The role emphasizes hands-on analytics, cross-functional collaboration, and thought leadership in advanced analytics, machine learning, and optimization, with growth opportunities and a competitive benefits package.

Qualifications

• 6–10 years of experience in supply chain analytics.
• Experience in demand planning, forecasting, inventory optimization, and network optimization.
• Expertise in Python or R plus SQL and ML/statistics techniques.
• Hands-on supply chain analytics experience is mandatory.
• Experience with SAP data sets or syndicated data is a plus.

Responsibilities

• Provide high-end consulting to help clients sharpen business strategies with analytical models.
• Support supply chain teams with data collection, consolidation, and analysis for initiatives like demand forecasting and logistics.
• Coordinate with cross-functional teams and lead strategic SC initiatives to closure.
• Mentor teams and contribute to knowledge sharing and white papers.
• Stay updated on Agentic AI, Generative AI and productivity improvements.

Skills

Supply chain analytics

Demand Planning

Forecasting

Inventory optimization

Network optimization

Machine learning

Statistics

Communication

Education

B.E./B.Tech./M.Tech in CS or related field

Tools

Python

R

SQL

Tableau

QlikView

Excel

Job description

Fractal Analytics is seeking a Senior Consultant in Business Analytics for Supply Chain in Los Angeles, CA. You will manage client teams, translate data into actionable insights, and develop data-driven solutions addressing demand forecasting, inventory and logistics challenges.

The role emphasizes hands-on analytics, cross-functional collaboration, and thought leadership in advanced analytics, machine learning, and optimization, with growth opportunities and a competitive benefits package.