Global Forecast Analyst

About The Job As a Global Forecast Analyst within the Smart Planning team, you will lead the development and deployment of advanced analytics and machine learning solutions to optimize demand planning processes. You will work cross‑functionally with data scientists, planners, and business stakeholders to enable data‑driven decision‑making and improve forecast accuracy and operational efficiency.

This position is based in Poland .

Main Responsibilities

• Support and contribute to the development and implementation of machine learning models for demand forecasting and planning,
• Lead initiatives related to KPI tracking and dashboarding to monitor and enhance planning performance,
• Collaborate with IT and business teams to integrate machine learning solutions into planning tools such as SAP IBP,
• Ensure high standards of data quality, governance, and model interpretability across planning systems,
• Work closely with Regional Forecast Analysts within the planning transformation team,
• Drive innovation by exploring and applying new technologies and methodologies in predictive analytics,
• The role requires approximately 20% business travel per year across continents (depending on business needs).

Key Deliverables

• Up‑to‑date and accurate machine learning models for demand forecasting,
• Clear governance framework for ML and statistical forecasting processes,
• KPI tracking enabled through effective dashboarding solutions.

Main Interactions

• Smart Planning team,
• Regional Centres of Excellence,
• DPC/Forecast Specialists,
• Local Demand Planning teams,
• IT Hub and Data & Analytics (D&A) teams.

About You To be able to achieve the above and be successful in this role, we believe you need to have

• Strong communication and stakeholder management skills,
• Problem solving negotiation, influencing, conflict management, continuous improvement,
• People and system management organization development, change management, and empowering teams,
• Product and process know-how and technologies,
• 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 strong plus,
• Experience with SAP IBP/o9 or similar planning platforms is a strong plus.

About us

Benefits And Employment Conditions

• Work in a professional environment with a well-developed feedback culture,
• Opportunity to shape processes within your area of responsibility,
• Access to a benefits platform offering discounts on company products and vouchers for cultural and sports events,
• Subsidy for Luxmed/Medicover - after all, we prioritize health!
• Subsidy for a Multisport card,
• Life insurance and Employee Capital Plans (PPK).

What’s next? If you like our proposal and you want to join the group of DANONE please apply by finding your application form under “APPLY” button.

We embrace diversity in our organization. This means giving full and fair consideration to all applicants without attention to race, color, religion, sex, sexual orientation, gender identity, national origin or disability status

Administratorem Twoich danych osobowych udostępnionych w profilu oraz w dokumentach składanych w ramach rekrutacji jest Danone Sp. z o.o. z siedzibą w Warszawie (ul.Bobrowiecka 8, 00-728 Warszawa).