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.