Aleksandra Andrzejczyk

Aleksandra Andrzejczyk has a diverse professional background, having worked for seven different companies since 2013. Aleksandra started their career at Franklin Templeton Investments as a Global Consultant Data Services Specialist, where they concentrated on investment fund performance and created over 100 data-rich due diligence questionnaires. In 2014, they moved to IPADE Business School as a Business Support Analyst, where they researched open enrollment education programs for top executives in North America and Europe. In 2015, Aleksandra was a Marketing & Customer Experience Consultant at Merit Tarkvara AS, where they provided counsel to clients and collaborated with technical and business teams to determine challenges, opportunities, and best customer support practices. In 2018, they took on the role of Technical Account Manager at Playtech, where they managed critical incident communication to reduce risks and ensure accurate and timely information. From 2019 to 2023, Aleksandra worked at Glia, first as a Product Data Analyst and then as a Client Engineer, where they managed incoming support requests and provided technical assistance for SaaS clients. Currently, they are a Product Analyst at Fingerprint.

Aleksandra Andrzejczyk obtained a Bachelor's degree in Economics from Poznan University of Economics And Business from 2008 to 2011. Aleksandra then attended the University of Valencia and obtained a Bachelor's Degree in Business Administration and Management, General in 2010 to 2011. Aleksandra returned to Poznan University of Economics And Business and obtained a Master's Degree in Social Policy from 2011 to 2014 and a Master's degree in Economics from 2011 to 2013. In 2014, Aleksandra Andrzejczyk obtained a Master of Business Administration (M.B.A.) from IPADE Business School in Business Administration and Management, General. Additionally, Aleksandra Andrzejczyk has obtained certifications from Product School, Columbia University in the City of New York, Udemy, and Dataquest.io in Product Analytics Micro-Certification (PAC)™, Statistical Thinking for Data Science and Analytics, Amazon (AWS) QuickSight, and Data Analysis in R, respectively.