Oana Maria Pop
About Oana Maria Pop
Oana Maria Pop is a Data Analyst at Endava in the United Kingdom, with a background in business analysis, software engineering, and extensive education in statistics and informatics.
Current Position at Endava
Oana Maria Pop has been working as a Data Analyst at Endava in the United Kingdom since July 2015. In her role at Endava, she focuses on analyzing complex datasets and providing insightful data-driven recommendations. Her contributions are critical to the decision-making processes within the company.
Previous Role at Evalueserve
Between 2014 and 2015, Oana Maria Pop worked as a Business Analyst at Evalueserve in Schaffhausen, Switzerland. During her tenure, she was responsible for compiling and analyzing business data to support various strategic initiatives. This role allowed her to develop a solid foundation in business intelligence and analytics.
Software Engineering Experience at Cognizant Softvision
Oana Maria Pop has also gained experience as a Software Engineer at Cognizant Softvision. In this role, she was involved in developing software solutions and working on various technical projects. Her engineering experience complements her analytical skills, providing her with a well-rounded understanding of both data analysis and software development.
Educational Background in Informatics and Statistics
Oana Maria Pop pursued her education at Universitatea „Babeș-Bolyai” Din Cluj-Napoca. She completed a Bachelor's degree in Statistics from 2008 to 2011, followed by a Master's degree in Management and Applied Statistics from 2011 to 2013. Additionally, she studied Informatics for two years, from 2013 to 2015. Her extensive academic background has equipped her with a strong foundation in statistical methodologies and data analysis techniques.
Early Career and Internship Experience
In 2010, Oana Maria Pop completed a one-month student internship at Bancpost in Bucharest, Romania. During this internship, she gained initial exposure to the financial industry and developed practical skills that would benefit her subsequent roles. This early experience provided a valuable introduction to the professional world and laid the groundwork for her career in data analysis and business intelligence.