Sean Mark Mole

Data Management Support @ Verdani Partners

About Sean Mark Mole

Sean Mark Mole is a Data Management Support professional with extensive experience in lead generation services and marketing. He has worked for various organizations, including Fen Associates and Verdani Partners, and possesses expertise in SAP SRM and Master Data Management.

Work at Verdani Partners

Sean Mark Mole has been employed at Verdani Partners since 2019, where he serves in the role of Data Management Support. His responsibilities include managing data processes and ensuring data integrity within the organization. Verdani Partners focuses on sustainability and environmental consulting, and Sean's role is crucial in supporting the company's data-driven initiatives.

Previous Experience at Fen Associates

Prior to his current position, Sean worked at Fen Associates as a Headhunter from 2020 to 2021 in London, England. In this role, he utilized his skills in lead generation services and marketing, contributing to the recruitment process by identifying and engaging potential candidates for various positions.

Experience at Thinklogic PTE. LTD.

Sean served as a Data Management Specialist at Thinklogic PTE. LTD. from 2015 to 2018 in Cagayan De Oro City, Northern Mindanao, Philippines. His role involved managing data systems and ensuring the accuracy of data used within the organization, which is essential for effective decision-making.

Background in Inventory Analysis

Before his tenure at Thinklogic, Sean worked as an Inventory Analyst at FASTCARGO LOGISTICS CORPORATION from 2012 to 2015, also in Cagayan De Oro City. His experience in inventory analysis provided him with a solid foundation in data management and analytics, further enhancing his skill set in the field.

Education and Expertise

Sean Mark Mole studied at AMA University, where he gained knowledge relevant to his career in data management. He possesses expertise in SAP SRM, a Supplier Relationship Management system, and has skills in Master Data Management, which are vital for maintaining accurate and consistent data across organizations.

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