Region Demand Planner

Roquette is a family-owned global leader in plant-based ingredients and a leading provider of pharmaceutical excipients.

Want to help us make a difference?
Using plant-based resources, we collaborate with our customers and partners to imagine and offer ingredients to better feed people and treat patients.
Each of our ingredients responds to unique and essential needs, and they enable healthier lifestyles.

To support our growth ambitions, we are looking for a Demand Planner to join our Health & Pharma Solutions (HPS) team.

This position is based in Barueri, São Paulo, Brazil, under a hybrid working model with 2 days per week on-site.

Our Team

Within Health & Pharma Solutions, we work collaboratively across Commercial, Finance, Marketing, and Supply Chain functions to transform data into meaningful business decisions. Our team values innovation, analytical thinking, continuous improvement, and knowledge sharing, creating an environment where people can make a real impact.

Your Mission

As a Demand Planner, you will be responsible for building and maintaining a reliable demand signal across products and markets in the LATAM region. By combining customer insights, statistical forecasting, market intelligence, and business knowledge, you will support strategic decision‑making through the SIOP (Sales, Inventory & Operations Planning) process.

You will play a key role in connecting different areas of the business, driving improvements in forecast accuracy, service levels, inventory management, and business performance. In addition, you will help advance the team's analytical and digital capabilities through automation, advanced analytics, and AI‑driven forecasting initiatives.

Your Experience and Talents Will Make the Difference By:

• Developing and maintaining demand forecasts and planning models across products, markets, and planning horizons.
• Partnering with Commercial, Marketing, Finance, and Supply Chain teams to translate business opportunities, risks, and market intelligence into robust forecast assumptions.
• Applying demand segmentation techniques to improve forecasting effectiveness and planning efficiency.
• Monitoring forecast accuracy, bias, and Forecast Value Added (FVA) metrics, identifying opportunities for continuous improvement.
• Analyzing data to detect demand shifts, seasonality patterns, market trends, and anomalies.
• Maintaining high‑quality planning data through validation, investigation, and documentation of forecast assumptions.
• Performing scenario analysis to evaluate the impact of market changes, promotions, and business decisions.
• Leading LATAM demand review meetings within the SIOP process, facilitating alignment among stakeholders.
• Building strong relationships with Commercial, Supply Chain, and Finance teams to enable data‑driven decision‑making.
• Developing dashboards, automations, and advanced analytics solutions that enhance planning effectiveness.
• Exploring and implementing innovative forecasting approaches using artificial intelligence and advanced analytics techniques.

What We Would Love About You

We are looking for someone who is passionate about solving complex business challenges and transforming data into actionable insights.

Your curiosity, relationship‑building skills, and strategic mindset will make you a valuable addition to our team. We appreciate professionals who challenge assumptions constructively, embrace continuous improvement, and seek innovative ways to create business value.

We also value strong communication skills, critical thinking, collaboration, attention to detail, and the ability to translate complex analytical findings into clear business recommendations.

What You'll Bring

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, Operations Research, Supply Chain Analytics, or a related quantitative field.
• Strong foundation in statistical modeling, predictive analytics, machine learning, or other advanced analytical methodologies.
• Experience in demand planning, forecasting, data science, and quantitative analysis.
• Knowledge of SIOP/S&OP processes.
• Experience with Python, SQL, Qlik, or similar analytics tools.
• Experience with SAP IBP, OMP, or other Advanced Planning Systems is considered an advantage.
• Experience applying advanced analytics, statistical modeling, machine learning, automation, and AI solutions to business processes.
• Strong analytical skills with the ability to identify patterns, understand demand drivers, and translate complex data into clear business recommendations.
• Strong business judgment and stakeholder management skills, with the emotional intellige