Global Forecast Analyst — ML-Driven Demand Planning Lead

Danone; Warszawa; On-site; PLN 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Multisport card

Life insurance

Employee Capital Plans (PPK)

Job summary

Danone is seeking a Global Forecast Analyst in Poland to lead the development and deployment of analytics and ML solutions for demand planning. You will work cross-functionally with data scientists, planners and stakeholders to enable data-driven decisions and improve forecast accuracy.

The role involves implementing ML models, KPI dashboards, data governance and collaboration with IT and regional teams. ~20% travel is required across continents.

Qualifications

• Master’s or PhD in Data Science, Computer Science, Engineering, Business Administration or related field.
• Experience in machine learning, preferably within supply chain or planning functions is a plus.
• Experience with SAP IBP/o9 or similar planning platforms is a plus.

Responsibilities

• Support and develop machine learning models for demand forecasting and planning.
• Lead KPI tracking and dashboarding to monitor planning performance.
• Collaborate with IT and business teams to integrate ML solutions into planning tools like SAP IBP.
• Ensure data quality, governance, and model interpretability across planning systems.
• Work with Regional Forecast Analysts within the planning transformation team.
• Explore new technologies and methods in predictive analytics.
• Expect ~20% travel per year across continents.

Skills

Communication

Stakeholder management

Problem solving

Negotiation

Influencing

Change management

Team empowerment

Data literacy

Education

Master’s or PhD in Data Science or related field

Tools

SAP IBP

Job description

Danone is seeking a Global Forecast Analyst in Poland to lead the development and deployment of analytics and ML solutions for demand planning. You will work cross-functionally with data scientists, planners and stakeholders to enable data-driven decisions and improve forecast accuracy.

The role involves implementing ML models, KPI dashboards, data governance and collaboration with IT and regional teams. ~20% travel is required across continents.