Senior Data Analytics Specialist
2 days ago
Job OverviewWe are seeking a professional to drive machine learning models for demand planning and forecasting processes across multiple regions. The ideal candidate combines strong data science capabilities with effective communication skills to deliver excellence in quality of models working in cross-functional global teams.This role is responsible for developing and improving ml data models for demand planning and forecasting globally, ensuring accuracy and consistency in approach within 2 main platforms used today (sap ibp and o9). The candidate should be able to capture multi-regional business needs to design scalable forecasting solutions, provide data-driven insights to improve forecast accuracy, reduce bias, and optimize inventory planning as well as drive adoption and process maturity.The ideal candidate will establish and monitor kpis for forecasting performance, ensuring continuous improvement, collaborate with regional teams to standardize forecasting and promote best practices, support automation and touchless opportunities in demand planning processes using data science and analytics techniques, conduct root cause analysis for forecast deviations and implement corrective actions, communicate complex analytical findings in a clear and actionable manner to stakeholders at all levels to drive decisions and actions, and drive capability building across regions on forecasting methodologies and analytics tools.Key Responsibilities:Develop and improve ml data models for demand planning and forecasting globally, ensuring accuracy and consistency in approach within 2 main platforms used today (sap ibp and o9).Capture multi-regional business needs to design scalable forecasting solutions.Provide data-driven insights to improve forecast accuracy, reduce bias, and optimize inventory planning as well as drive adoption and process maturity.Establish and monitor kpis for forecasting performance, ensuring continuous improvement.Collaborate with regional teams to standardize forecasting and promote best practices.Support automation and touchless opportunities in demand planning processes using data science and analytics techniques.Conduct root cause analysis for forecast deviations and implement corrective actions.Communicate complex analytical findings in a clear and actionable manner to stakeholders at all levels to drive decisions and actions.Drive capability building across regions on forecasting methodologies and analytics tools.Required Skills & QualificationsStrong background in demand planning, forecasting, and statistical modeling.Working knowledge of data analytics tools (e.g., python, r, sql) and visualization platforms.Ability to interpret data and translate insights into business recommendations.Excellent communication and stakeholder management skills.Experience in multi-country or regional planning environments is a plus.
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