Demand Forecaster

Hello. We’re Haleon. A new world-leading consumer health company. Shaped by all who join us. Together, we’re improving everyday health for billions of people. By growing and innovating our global portfolio of category-leading brands - including Sensodyne, Panadol, Advil, Voltaren, Theraflu, Otrivin, and Centrum - through a unique combination of deep human understanding and trusted science. What’s more, we’re achieving it in a company that we’re in control of. In an environment that we’re co-creating. And a culture that’s uniquely ours. Care to join us. It isn’t a question.

With category leading brands such as Sensodyne, Voltaren and Centrum, built on trusted science and human understanding, and combined with our passion, knowledge and expertise, we’re uniquely placed to do this and to grow a strong, successful business.

This is an exciting time to join us and help shape the future. It’s an opportunity to be part of something special.

About the role

At Haleon, we’re united by our purpose to deliver better everyday health with humanity. As a Demand Forecaster, you’ll play a critical role in ensuring that our trusted brands reach the people who need them — when and where they need them.

In this role, you will lead the monthly statistical forecasting process, delivering accurate baseline forecasts across all SKUs. By leveraging data from market trends, historical performance, and evolving consumer behaviors, you’ll generate demand forecasts that inform and optimize supply chain planning, production, and commercial strategies.

Your insights will help drive service excellence, reduce supply chain waste, and support our mission to make everyday health more accessible. If you're passionate about consumer health, love working with data, and want your work to have real-world impact, join us at Haleon — where your forecasts help people live healthier every day.

Key responsibilities
- Utilize statistical modeling, data analysis, and collaborative input to generate accurate short-term and long-term demand forecasts for multiple product lines. Run data-driven sell-out and sell-in forecasts and review the outputs.
- Monitor and analyse demand drivers such as seasonality, consumer trends, economic factors, and market dynamics. Provide insight to the data science hub to refine forecasting models and strategies as required.
- Oversee and coordinate all activities related to statistical forecast preparation and hand over an (adjusted) baseline to the local Demand Planer preparation.
- Clean sales history through automatic and manual outlier in cooperation with the local Demand Planner considering the impact from market activities.
- Maintain close communication with Local in-Market demand planners to adjust baseline forecast in line with market trends.
- Maintain a detailed knowledge of all components of the Demand Forecast, statistical baseline, promotion and repacking uplifts, and cannibalization effects.
- Identify opportunity and manage switch between statistical forecasting methods and driver-based forecasting models.
- Define, develop and test potential new (global) driver for AI/ML supported forecasting models in cooperation with data science hub and Demand Planer.
- Manage product segmentation to ensure SKUs are grouped to optimise model performance and accuracy, as well as to enable consistent planning.
- Prepare and conduct SKU Analysis, and recommend SKUs requiring enrichment compared to no touch forecasts (baseline forecast only)
- Prepare root/cause analysis reports identifying and proposing the required conclusions and corrective actions.
- Collaborate with Continuous Improvement Team to identify the gap on current process and methodologies for continuous improvement, enhance forecast accuracy and efficiency.
- Track Forecast Value Accuracy KPI and ensure adherence to process where local enrichments are reducing Forecast accuracy.
- Track and optimize forecasting metrics including Forecast Accuracy, BIAS and FASTAT vs FAENRICH to enhance forecast reliability.

Qualifications and skills

Essential
- Bachelor’s degree in Supply Chain Management, Statistics, Economics, or a related field.
- Proven experience (8 years +) in demand planning within the FMCG industry or a related field, preferably in a multinational environment.
- Proficiency in statistical analysis and forecasting techniques, familiarity with statistical tools such as SAP, Oracle, O9, PowerBI, etc.
- Strong analytical skills with the ability to translate data into actionable insights.
- Ability to communicate complex information clearly and concisely.
- Ability to work under tight deadlines and adapt to changing priorities.
- Fluent in English, both written and spoken. Knowledge in 2nd language will be an advantage
- Digital Literacy

Preferred
- Experience in project management
- Digital Acumen and Innovation
- Understanding of end-to-end supply chain processes
- Ability to work independently and build cross-functional partnerships across the