Sonia Janes
About Sonia Janes
Sonia Janes is a Senior Demand Forecast Analyst at Spectrum Brands, Inc., where she has worked since 2020. She holds a Bachelor of Science in Information Systems from Maryville University of Saint Louis and has extensive experience in the food production industry, enhancing her expertise in demand planning and forecasting.
Work at Spectrum Brands
Sonia Janes has been employed at Spectrum Brands, Inc. as a Senior Demand Forecast Analyst since 2020. In this role, she utilizes her expertise in demand planning and forecasting to enhance supply chain operations. Her responsibilities include analyzing market trends and consumer demand to ensure accurate forecasting, which is critical for inventory management and production planning.
Education and Expertise
Sonia Janes earned a Bachelor of Science (BS) degree in Information Systems from Maryville University of Saint Louis. Her educational background provides a solid foundation for her work in demand forecasting and supply chain management. This academic experience, combined with her industry knowledge, contributes to her effectiveness in her current role.
Background in Food Production Industry
Sonia Janes has a strong background in the food production industry, which significantly enhances her expertise in demand planning and forecasting. This experience allows her to understand the unique challenges and dynamics of the industry, enabling her to make informed decisions that improve supply chain efficiency.
Previous Experience in Forecast Management
Prior to her current position, Sonia Janes served as a Forecast Manager at Sara Lee Corporation from 1992 to 2011, where she worked for 19 years. She also held the position of Forecast Manager at Ralcorp Frozen Bakery Products from 2011 to 2013. These roles provided her with extensive experience in forecasting and supply chain operations.
Achievements in Process Management
Sonia Janes possesses a proven record of metric improvement and process management. Her contributions in these areas have enhanced her effectiveness in supply chain operations, allowing her to implement strategies that optimize forecasting accuracy and operational efficiency.