Sofie Theunissen

Sofie Theunissen

Senior Data Engineer @ Swift

About Sofie Theunissen

Sofie Theunissen is a Senior Data Engineer at SWIFT, where she has worked since 2021. She has a strong background in data analysis and management information systems, holding multiple master's degrees and experience in various roles, including business intelligence consulting and functional analysis.

Work at SWIFT

Sofie Theunissen has been employed at SWIFT as a Senior Data Engineer since 2021. In this role, she is responsible for managing and optimizing data processes, ensuring data integrity, and supporting data-driven decision-making within the organization. Her position involves collaborating with cross-functional teams to enhance data systems and contribute to the overall data strategy of SWIFT.

Previous Experience at Tripwire Solutions

Prior to her current role, Sofie Theunissen worked at Tripwire Solutions as a Business Intelligence Consultant from 2017 to 2021. During her four years in this position, she focused on developing and implementing business intelligence solutions that helped organizations leverage data for strategic insights. She initially joined Tripwire Solutions in 2015, where she worked for two years before transitioning to her role as a Functional Analyst.

Experience at KBC Bank & Verzekering

Sofie Theunissen served as a Functional Analyst at KBC Bank & Verzekering for a period of seven months in 2017. In this capacity, she analyzed business requirements and collaborated with stakeholders to enhance the bank's operational efficiency. Her experience in this role contributed to her understanding of the financial sector and the importance of data in driving business outcomes.

Education and Expertise

Sofie Theunissen holds a Master's Degree in Business Engineering with a focus on Management Information Systems from UHasselt, which she completed from 2009 to 2015. She furthered her education by obtaining a Master of Science in Statistical Data Analysis from Ghent University between 2018 and 2020. Her academic background provides her with a strong foundation in data analysis and management, which supports her professional roles in data engineering and business intelligence.

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