Stefanie Su
About Stefanie Su
Stefanie Su is a Business Analyst Executive at Eyeota in Singapore, specializing in data cleaning and analysis to improve analytics efficiency. She holds a Bachelor's degree in Business Management and Applied Statistics from Singapore Management University, where she studied from 2011 to 2015.
Work at Eyeota
Stefanie Su has held the position of Business Analyst Executive at Eyeota since 2015. In this role, she engages in data cleaning and analysis, which contributes to the efficiency of analytics tasks. Her responsibilities include utilizing Tableau to build dashboard components, which enhances her skills in both non-statistical and statistical data visualization. Stefanie's work at Eyeota involves setting up proper documentation for various projects, ensuring that project information is organized and accessible.
Education and Expertise
Stefanie Su studied at Singapore Management University from 2011 to 2015, where she earned a Bachelor's degree in Business Management with a focus on Applied Statistics. This educational background has equipped her with a strong foundation in data analysis. She has developed expertise in using MS Excel functions, such as pivot tables and Index-Match, which are essential for handling large datasets. Her academic and professional experiences have contributed to her analytical skills.
Background
Stefanie Su has been active in the field of business analysis for several years. Her career began at Eyeota, where she has gained valuable experience in a strategy department. This role provided her with first-time exposure to revenue-driving business strategies, enhancing her understanding of how analytics can support business objectives. Her background in both education and work has shaped her approach to data analysis and project management.
Technical Skills
Stefanie Su possesses a range of technical skills that are essential for her role as a Business Analyst Executive. She is proficient in Tableau, which she uses to create dashboard components for data visualization. Additionally, her expertise in MS Excel, particularly in functions like pivot tables and Index-Match, allows her to effectively manage and analyze large datasets. These technical skills enable her to contribute significantly to analytics tasks and project documentation.