Ekaterina Samoilova

Ekaterina Samoilova

Big Data Analyst @ Mail.ru Group

About Ekaterina Samoilova

Ekaterina Samoilova is a Big Data Analyst currently employed at Mail.ru Group in Moscow, Russia, where she has worked since 2021. She previously served as a Data Analyst at Работа.ру for one year and holds a Bachelor's degree in Economics from Российский Государственный Социальный Университет.

Work at Mail.ru Group

Ekaterina Samoilova has been employed at Mail.ru Group as a Big Data Analyst since 2021. In this role, she focuses on analyzing large datasets to derive insights that inform business strategies. Her work involves utilizing advanced analytical techniques and tools to support data-driven decision-making within the organization. She continues to contribute to the company's efforts in leveraging big data for improved performance and operational efficiency.

Previous Experience at Работа.ру

Prior to her current position, Ekaterina Samoilova worked as a Data Analyst at Работа.ру from 2019 to 2020. During her tenure, she was responsible for analyzing data to support various business functions. This experience provided her with a solid foundation in data analysis and helped her develop skills that she applies in her current role.

Education and Expertise

Ekaterina Samoilova studied at Российский Государственный Социальный Университет, where she earned a Bachelor's degree in Economics from 2017 to 2022. Her educational background equips her with a strong understanding of economic principles and data analysis techniques. She has expertise in working with Vertica databases and specializes in creating visualizations using Tableau, which aids in monitoring business performance.

Analytical Skills and Specializations

Ekaterina Samoilova engages in ad hoc analysis to uncover trends and insights that warrant further investigation. Her analytical skills enable her to identify patterns within large datasets, which can lead to actionable recommendations for business improvements. Her proficiency in data visualization tools like Tableau enhances her ability to present complex data in an accessible manner.

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