• Assist in data collection, cleaning, and preparation for statistical forecasting and key data insights

• Help analyze forecast accuracy metrics (KPIs) and identify trends, gaps, and improvement opportunities.

• Collaborate with local market teams to incorporate market intelligence into forecasts.

• Participate in process documentation and SOP updates.

• Assist in research and testing of advanced analytics techniques, including AI/ML applications.

• Support scenario planning and exception management activities.

• Work with IT and Analytics teams on data validation and system enhancements.

• Currently pursuing a Master’s degree in Supply Chain, Analytics, Data Science, or related field.

• Basic knowledge of statistics and forecasting principles.

• Proficiency in Excel; familiarity with SQL or Python is a plus.

• Strong analytical and problem-solving skills.

• Good communication and collaboration skills.

• Interest in AI/ML and automation in forecasting is a plus.

Pay rate will not be below any applicable local minimum wage rates.