Job Description:
We are seeking a highly skilled Demand Planner with a strong foundation in statistical analysis, machine learning algorithms, and mathematical modeling.
Key Responsibilities:
- Lead and manage the forecasting analyst team for Europe.
- Develop and maintain statistically driven forecasts for the full portfolio and horizon.
- Collect relevant assumptions systematically, both within and outside the system.
- Understand the S&OP and S&OE planning processes, address the needs of different stakeholders, and standardize processes across countries while applying a segmented approach to structural differences.
- Utilize digital storytelling to bring data to life and drive data-driven, value-added discussions in each country.
- Enhance the data model by defining, collecting, and cleaning relevant data references.
- Fine-tune or rebuild forecasting models: select the best-fitting model per product and manually enhance forecasts as needed.
- Communicate and explain statistical forecasts to the markets/planning team in a non-technical manner.
- Listen to market feedback, evaluate statistical findings/improvements, provide business insights, and communicate clearly to stakeholders.
- Adapt leadership and stakeholder management style as the planning approach evolves over time.
- Create feedback mechanisms from the markets to drive process and statistical improvement.
- Co-create and support the long-term planning vision and agenda that drives human-centric, digital planning transformation.
- Have a hands-on management style
Qualifications:
Education and Professional:
- B.S. or B.A. in computer science, data science, machine learning, mathematics, statistics, or a related natural science or technical degree. A Master's or advanced degree (sciences or business) is preferred.
- 7+ years of experience in planning, forecasting, or statistical modeling in an industrial or CPG/FMCG company.
- 2-3 years of experience in a people leader or team leader capacity (at least 4 direct reports).
Knowledge / Experience:
- Proficiency with statistical forecasting tools such as R, Python, or SAS.
- Experience with demand sensing and machine learning algorithms.
- Familiarity with ERP and Advanced Planning Systems (preferably E2Open or RapidResponse).
- Understanding of demand drivers, building blocks, outliers, and demand shaping characteristics within CPG (preferable but not essential).
- Knowledge of Lean / Six Sigma / root cause analysis, e.g., 5 Whys.
- Ability to present complex analysis in understandable forms to business stakeholders.
- Experience with digital transformations in companies.
- Attention to detail and a passion for data accuracy.
- Ability to listen to others and integrate their ideas.
