Aleksandra Andrzejczyk
About Aleksandra Andrzejczyk
Aleksandra Andrzejczyk is a Product Data Analyst with a strong interest in startups targeting unicorn status. She has extensive experience in data analysis and has worked for several companies, including Glia and Playtech, while holding multiple degrees in economics and business administration.
Current Role at Glia
Aleksandra Andrzejczyk has been employed at Glia as a Product Data Analyst since 2019. In this role, she focuses on delivering data-driven insights to both internal and external stakeholders. She utilizes various tools and technologies, including AWS Quicksight, Redash, Snowflake, Datadog, GitHub, SQL, and JIRA, to analyze data and support decision-making processes.
Previous Experience in Marketing and Customer Experience
Prior to her current position, Andrzejczyk worked at Merit Tarkvara AS as a Marketing & Customer Experience Consultant from 2015 to 2018. During her time there, she contributed to enhancing customer engagement and marketing strategies. She also held the role of Technical Account Manager at Playtech from 2018 to 2019, where she managed technical accounts and supported client needs.
Educational Background
Andrzejczyk has a comprehensive educational background. She earned a Bachelor's degree in Economics from Poznan University of Economics and Business from 2008 to 2011. She continued her studies at the same institution, obtaining a Master's degree in Economics from 2011 to 2013. Additionally, she completed a Master's degree in Social Policy from 2011 to 2014 and an MBA from IPADE Business School in 2014.
Experience in Data Services and Analysis
Before joining Glia, Andrzejczyk worked as a Global Consultant Data Services Specialist at Franklin Templeton Investments from 2013 to 2014. In this role, she focused on data services and analysis, contributing to the organization's data management efforts. She also briefly served as a Business Support Analyst at IPADE Business School in 2014.
Interest in Startups and Unicorns
Andrzejczyk possesses a strong interest in working with startups that aim for unicorn status. This focus aligns with her experience in data analysis and her desire to contribute to innovative and rapidly growing companies.