Forecast Analytics Lead - Ice Cream Demand

The Magnum Ice Cream Company; Englewood Cliffs (NJ); On-site; USD 71,000 - 107,000; Full time

Benefits offered by this job

Health insurance

Retirement savings benefits

Life insurance

Disability benefits

Paid vacation

Job summary

Magnum Ice Cream Company in Englewood Cliffs, NJ is seeking an experienced Ice Cream Demand Analytics Planner to lead forecast performance across multiple brands, shapes baseline forecasts for the monthly S&OP cycle, and drive AI-enabled improvements.

The role requires strong analytical skills, KPI reporting, and the ability to translate complex data into actionable recommendations for cross-functional teams.

Qualifications

• Bachelor’s degree in a related field or equivalent experience.
• Experience in demand planning, forecasting, planning analytics, supply chain analytics, or related disciplines.
• Strong data storytelling capabilities with the ability to create leadership presentations.

Responsibilities

• Shape and optimize the baseline forecast for the monthly S&OP cycle.
• Improve forecast accuracy, bias, and model adoption through routine Demand Analytics.
• Develop executive dashboards and KPI reporting to support Demand Review and S&OP.

Skills

Demand Planning

Forecast Analytics & Interpretability

Forecast Accuracy, Bias & FVA Analysis

Advanced Excel and Strong Data

Root Cause Analysis (RCA)

Advanced Power BI User

KPI Reporting & Dashboard Development

Data Storytelling & Executive Presenta

Agentic AI User

AI-Assisted Analytics (Copilot)

Communication Skills

Collaboration

Machine Learning Forecasting Concepts

Advanced Microsoft PowerPoint

Exception-Based Planning

Tools

Kinaxis RapidResponse

Anaplan

Power BI Development

Power Automate Development

Python for Analytics

Model Diagnostics

Job description

Magnum Ice Cream Company in Englewood Cliffs, NJ is seeking an experienced Ice Cream Demand Analytics Planner to lead forecast performance across multiple brands, shapes baseline forecasts for the monthly S&OP cycle, and drive AI-enabled improvements.

The role requires strong analytical skills, KPI reporting, and the ability to translate complex data into actionable recommendations for cross-functional teams.