Statistical Forecaster

Job Overview

• Gather, clean, and organize large datasets from various sources.
• Conduct exploratory data analysis to identify patterns, trends, and anomalies.

• Build and test statistical models (e.g., time series analysis, regression, machine learning algorithms) to forecast key business metrics.
• Continuously refine forecasting models based on performance and accuracy.
• Assess market data and indices for forecast correlation.
• Simulate the impacts of New Product Introduction (NPI), pricing changes and channel packages.

• Generate clear, concise reports on forecasting results and model performance.
• Prepare data models and insights for loading into visualization tools (eg. Tableau / Power BI).

• Work with other departments, such as sales, finance, and product management, to understand business needs and provide forecasts that support strategic decision-making.
• Assist demand planners in interpreting forecasts and explaining model assumptions to non-technical teams.

• Regularly track the accuracy of forecasting models and adjust as necessary.
• Use performance metrics to evaluate model success and make improvements..

• Stay up-to-date with advancements in statistical forecasting techniques and software.
• Implement best practices for data handling, model selection, and validation.

What your background should look like:

• Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or a related field.
• Proven experience in statistical modeling, forecasting, and data analysis.
• Proficiency in statistical software and programming languages such as R, Python, or SAS.
• Strong understanding of time series analysis, regression models, and other predictive analytics techniques.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Excellent communication skills, with the ability to convey complex statistical concepts to non- technical audiences.
• Strong attention to detail and analytical thinking.
• Ability to work collaboratively in a team environment

• Experience of S&OP Process
• Experience in Demand Planning
• Experience with SAP Integrated Business Planning (IBP)

Competencies