Magdalena C.
About Magdalena C.
Magdalena C. is a Senior Data Analyst at Thomson Reuters, where she has worked since 2015. She holds multiple degrees in mathematics and aspires to transition into a Data Scientist role, showcasing her commitment to professional growth.
Current Role as Senior Data Analyst
Magdalena C. currently holds the position of Senior Data Analyst at Thomson Reuters, a role she has occupied since 2015. She is based in Gdynia, woj. pomorskie, Polska. In this capacity, she utilizes her analytical skills to interpret complex data sets and provide insights that support business decisions. Her responsibilities include managing data projects and collaborating with various teams to enhance data-driven strategies.
Previous Experience at Thomson Reuters
Before her current role, Magdalena C. worked at Thomson Reuters as a Data Analyst from 2013 to 2015. During her two years in this position, she developed foundational skills in data analysis and gained experience working with international clients and teams. This role contributed to her understanding of cross-cultural communication and collaboration within a global business environment.
Education and Academic Background
Magdalena C. has a strong academic background in mathematics. She studied at Politechnika Gdańska, where she earned a Master’s degree in Applied Mathematics (Magister, Mgr) from 2011 to 2013, following her earlier studies at the same institution, where she achieved an Engineering degree (Inżynier, Inż.) from 2007 to 2011. Additionally, she studied at Universidad de Granada for one year, focusing on Mathematics from 2011 to 2012.
Professional Development Goals
Magdalena C. aspires to transition into a Data Scientist role, reflecting her commitment to professional growth and development in the field of data science. This ambition indicates her desire to expand her skill set and take on more complex data challenges, aligning with industry trends and demands.
Skills and Competencies
Magdalena C. demonstrates strong organizational skills and the ability to prioritize tasks effectively under pressure. Her experience in data analysis, combined with her educational background, equips her with the necessary competencies to handle complex data projects and collaborate efficiently with diverse teams.