Snezana Samardzic

Snezana Samardzic

Data Analyst @ Thomson Reuters

About Snezana Samardzic

Snezana Samardzic is a Data Analyst with extensive experience in database administration and financial data management. She has worked at Thomson Reuters and Refinitiv in Gdynia, Poland, since 2017 and 2018, respectively, and holds a Bachelor's degree in Accounting and Auditing from the University of Novi Sad.

Work at Thomson Reuters

Snezana Samardzic has been employed at Thomson Reuters since 2017, serving as a Data Analyst in Gdynia, Poland. In this role, she focuses on maintaining real-time and reference data for exchange-traded financial instruments. Her responsibilities include collaborating with internal teams and source providers to ensure the accurate and timely delivery of information. This position has allowed her to develop expertise in data management within a leading financial information and news provider.

Experience at Refinitiv

In addition to her role at Thomson Reuters, Snezana Samardzic has worked at Refinitiv since 2018 as a Data Analyst, also based in Gdynia, Pomeranian District, Poland. Her work at Refinitiv complements her experience at Thomson Reuters, further enhancing her skills in data analysis and management. This dual experience in prominent financial institutions has contributed to her proficiency in handling complex data sets and ensuring data integrity.

Internship Experience

Snezana Samardzic gained early professional experience through a student internship at Univerexport DOO in Novi Sad, Serbia, in 2017. This internship lasted for two months and provided her with foundational skills in database administration and data handling. The experience allowed her to apply her academic knowledge in a practical setting, preparing her for her subsequent roles in data analysis.

Education and Expertise

Snezana Samardzic earned her Bachelor's degree in Accounting and Auditing from the University of Novi Sad, where she studied from 2012 to 2017. This educational background has equipped her with a solid understanding of financial principles and data management practices. Her academic training supports her current expertise in maintaining real-time and reference data for financial instruments.

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