Alina Parkhomenko

Alina Parkhomenko

Bi Engineer @ MedeAnalytics

About Alina Parkhomenko

Alina Parkhomenko is a BI Engineer with a background in Economic Cybernetics. She has worked at MedeAnalytics and AxiomSL, and she holds both a Master's and Bachelor's degree from Simon Kuznets Kharkiv National University of Economics.

Current Role as BI Engineer

Alina Parkhomenko currently holds the position of BI Engineer at MedeAnalytics. She has been in this role since 2021 and is based in Kharkiv, Ukraine. In her capacity as a BI Engineer, she is responsible for leveraging business intelligence tools to analyze data and provide insights that support decision-making processes within the organization.

Previous Experience at MedeAnalytics

Prior to her current role, Alina Parkhomenko worked at MedeAnalytics as a Data Load Engineer from 2019 to 2021. During her two years in this position, she contributed to the data loading processes, ensuring the accuracy and efficiency of data integration within the company's systems. This experience provided her with a solid foundation in data management.

Experience at STV Group

Alina Parkhomenko served as an Analyst at STV Group from 2017 to 2018. In this role, she was involved in analyzing data to support business operations and strategic initiatives. Her work contributed to the overall effectiveness of the organization's analytical capabilities during her one-year tenure.

Background in Economic Cybernetics

Alina Parkhomenko studied at Simon Kuznets Kharkiv National University of Economics, where she earned both her Bachelor’s and Master’s degrees in Economic Cybernetics. She completed her Bachelor's degree from 2012 to 2016 and her Master's degree from 2016 to 2018. This educational background provided her with a strong foundation in economic theory and data analysis.

Role at AxiomSL

Before joining MedeAnalytics, Alina Parkhomenko worked as a Template Developer at AxiomSL from 2018 to 2019. In this role, she focused on developing templates that facilitated data processing and reporting, enhancing the efficiency of data management practices within the company.

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