Ice Cream Demand Analytics Planner
About The Position
The Ice Cream Demand Analytics Planner is responsible for demand analytics and forecast performance across approximately 55–60% of the Ice Cream business, covering the Ben & Jerry’s, Talenti, Yasso, and Magnum portfolios, 27 promotional families, and more than 230 SKUs. The role focuses on improving forecast accuracy, reducing bias, optimizing baseline forecasts, supporting innovation and new-product forecasting, managing exceptions, diagnosing portfolio performance, and providing analytics-driven insights for Demand Review, S&OP, and strategic growth initiatives. This role is the central owner of Demand Planning performance reporting. It develops and maintains KPI dashboards, scorecards, and executive-facing analytics to show forecast performance across different time lags, Forecast Value Add (FVA), bias loss trees, and business opportunities. The planner partners across planning, fulfillment, planning excellence, data science, and analytics teams, using predictive analytics, data visualization, automation, and AI-driven capabilities to improve forecasting and decision-making. The position combines forecast analytics ownership, AI-driven forecasting improvement, Demand Planning KPI governance, executive reporting, and data-driven decision support. The posted pay range is $71,400 to $107,200, and the position is bonus eligible. Candidates must be legally authorized to work in the United States full-time without current or future employer sponsorship.
Requirements
- Bachelor’s degree in Supply Chain, Data Analytics, Engineering, Business, Statistics, or a related field, or equivalent experience.
- Experience in demand planning, forecasting, planning analytics, supply chain analytics, revenue growth management, or related disciplines.
- Strong analytical and problem-solving capabilities, including experience using data, AI, machine learning outputs, and visualization tools to drive business decisions.
- Experience developing KPI scorecards, executive dashboards, and performance reporting solutions.
- Strong data storytelling skills and ability to create leadership presentations and performance narratives.
- Ability to interpret complex data and translate insights into actionable recommendations for technical and non-technical stakeholders.
- Strong stakeholder management and influencing skills across planning, operations, commercial, finance, and analytics teams.
- Demonstrated accountability, continuous improvement, and end-to-end Supply Chain thinking.
- Curiosity and an innovation mindset, with interest in improving forecasting through automation, AI, and emerging technologies.
- Ability to lead strategic discussions and challenge assumptions using fact-based insights.
- Strong communication and collaboration skills, with ability to influence decisions across organizational levels.
- Demand Planning.
- Forecast Analytics & Interpretability.
- Forecast Accuracy, Bias & FVA Analysis.
- Advanced Excel and strong data analysis.
- Root Cause Analysis (RCA).
- Advanced Power BI user.
- KPI reporting and dashboard development.
- Data storytelling and executive presentations.
- Agentic AI user.
- AI-assisted analytics, such as Microsoft Copilot.
- Machine learning forecasting concepts.
- Advanced Microsoft PowerPoint.
- Exception-based planning.
Nice To Haves
- Kinaxis RapidResponse experience.
- Anaplan.
- Power BI development.
- Agentic AI development.
- Power Automate development.
- Python for Analytics.
- Model diagnostics.
Responsibilities
- Shape and optimize the baseline forecast used in the monthly S&OP cycle.
- Improve forecast accuracy, bias, Forecast Value Add (FVA), and model adoption through daily, weekly, and monthly Demand Analytics routines.
- Investigate forecast performance with model diagnostics, interpretability tools, cycle-over-cycle analysis, and root cause analytics.
- Partner with Demand Planners, Demand Fulfillment Managers, Planning Excellence, Data Science, and Analytics teams to translate business drivers into improved forecasting outcomes.
- Identify forecast risks, opportunities, outliers, and degradation trends through exception-based planning.
- Lead continuous improvement initiatives to reduce forecast error, increase automation, and accelerate adoption of AI-driven forecasting capabilities.
- Develop actionable insights and data visualizations using Power BI and advanced analytics for Demand Review, S&OP, and strategic decisions.
- Own Demand Planning KPI reporting, including forecast accuracy, bias, FVA, forecast adoption, forecast attainment, and other planning performance metrics.
- Design, automate, and maintain executive dashboards, scorecards, and reporting solutions.
- Consolidate planning performance across brands and portfolios, identifying trends, risks, opportunities, and emerging demand signals.
- Develop executive-ready presentations and business narratives that translate analytical findings into recommendations and actions.
- Use AI agents, automation tools, and advanced analytics to improve reporting efficiency, insight generation, and forecasting effectiveness.
- Support innovation forecasting, lifecycle planning, and post-launch performance analytics for new products and portfolio changes.
- Challenge assumptions and forecast inputs using predictive analytics, business intelligence, and fact-based recommendations.
Benefits
- Bonus eligible.
- Health insurance, including prescription drug, dental, and vision coverage, subject to plan terms and employee participation.
- Retirement savings benefits, subject to plan terms and employee participation.
- Life insurance and disability benefits.
- Parental leave.
- Sick leave.
- Paid vacation and holidays.
- Access to voluntary benefits.
- Continuous learning and development.
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What This Job Offers
Job Type
Full-time
