Deborah Wiedow
About Deborah Wiedow
Deborah Wiedow is a Senior Master Data Analyst and Team Lead at Domtar in Montreal, Quebec, with over 14 years of experience in master data analysis and management. She has expertise in various ERP systems and holds degrees from Vanier College and Concordia University.
Work at Domtar
Deborah Wiedow has been employed at Domtar since 2020, serving as a Senior Master Data Analyst and Team Lead. In this role, she has focused on managing master data processes and ensuring data integrity within the organization. Her tenure at Domtar spans four years, during which she has utilized her extensive experience in master data management to contribute to the company's operations in Montreal, Quebec, Canada.
Previous Experience
Prior to her current position, Deborah Wiedow worked at Domtar as a Master Data Analyst for ten years from 2010 to 2020. Before joining Domtar, she held the position of Cocktail Lounge Manager at Hampton from 2007 to 2010 in Dorval, Quebec. Additionally, she served as a Manager at Rôtisseries Scores from 1998 to 2001, also in Dorval, Quebec. This diverse background has equipped her with various skills applicable to her current role.
Education and Expertise
Deborah Wiedow studied at Vanier College, where she earned a Diploma of College Studies (DEC) in Foreign Languages and Literatures from 1996 to 1998. She furthered her education at Concordia University, obtaining a Bachelor's degree in Human Development, Family Studies, and Related Services from 1998 to 2001. Her educational background complements her expertise in master data management, particularly in the Pulp and Paper industry, where she has demonstrated strong process improvement skills.
Technical Skills
Deborah Wiedow possesses expertise in multiple ERP systems, including SAP, Baan, JDE, BPCS, and BW. Her technical skills are critical in her role as a Senior Master Data Analyst, where she applies her knowledge to enhance data management processes. Additionally, she demonstrates excellent documentation skills, which are essential for maintaining accurate and reliable master data.