Marjan Van Hove
About Marjan Van Hove
Marjan Van Hove is a Business Development Specialist at D'Ieteren Auto, where they have worked since 2018. They hold a Master's degree in Human Resources and a Post Graduate in Big Data & Analytics, with a strong background in data analysis and business intelligence.
Work at D’Ieteren
Marjan Van Hove has been employed at D'Ieteren Auto as a Business Development Specialist since 2018. In this role, she focuses on after-sales business development and leads business intelligence initiatives related to the implementation of a new ERP system. Her experience at D'Ieteren spans multiple positions, including AutoPart Coordinator and Project Assistant, which have contributed to her understanding of the company's operations and strategic goals.
Education and Expertise
Marjan Van Hove holds a Master's degree in Handelswetenschappen with a specialization in Human Resources from HUB-EHSAL, completed from 2001 to 2005. She furthered her education by obtaining a Post Graduate degree in Big Data & Analytics in Business and Management from KU Leuven in 2018. Her foundational education includes a high school diploma from Mater-Dei Instituut, where she studied Economie - Wiskunde from 1995 to 2001.
Background
Marjan Van Hove's professional journey began at D'Ieteren, where she worked as a Parts Supplies employee from 2006 to 2011. She progressed through various roles, including Project Assistant and AutoPart Coordinator, before becoming a Business Controller at Volkswagen D'Ieteren Finance from 2015 to 2018. Her diverse experiences within the automotive sector have equipped her with a comprehensive understanding of business operations and data analysis.
Achievements
Marjan Van Hove emphasizes the continuous updating of her skills and competencies as a personal priority. She specializes in data analysis, focusing on discovering patterns and making predictions from various data sources. Her leadership in business intelligence initiatives reflects her commitment to enhancing operational efficiency through data-driven decision-making.