Bogdans Vasilecs
About Bogdans Vasilecs
Bogdans Vasilecs is a Digital Tracking and Web Analytics Specialist at Scandiweb, where he has worked since 2020. He has developed custom tracking solutions and enhanced eCommerce tracking for Google Analytics using Google Tag Manager.
Work at Scandiweb
Bogdans Vasilecs has been employed at Scandiweb since 2020 as a Digital Tracking and Web Analytics Specialist. In this role, he has developed custom tracking solutions and enhanced eCommerce tracking for Google Analytics using Google Tag Manager. His responsibilities include providing support for developers on dataLayer configuration and setup, as well as conducting product feeds health-check and troubleshooting in Google Merchant Center. He has also set up A/B tests using Google Optimize to improve client decision-making processes.
Previous Employment Experience
Prior to his current role, Bogdans Vasilecs held several positions in various organizations. He worked at xpate as a Business Analyst for four months in 2020. He also served as a Junior Loan Project Manager at Rietumu Banka for two months in 2020. Additionally, he was a Business Analyst at Samsung Electronics Baltics for one month in 2020. His experience includes co-founding ASAP Group, where he worked for two years from 2018 to 2020, and serving as a Market Research Analyst at Sonarworks for two months in 2019.
Education and Expertise
Bogdans Vasilecs studied at Rīgas Ekonomikas augstskola - Stockholm School of Economics in Riga, where he earned a Bachelor's degree in Business/Managerial Economics from 2017 to 2020. His educational background provides a foundation for his expertise in digital tracking and web analytics, as well as data management and analysis.
Technical Skills and Contributions
In his professional capacity, Bogdans Vasilecs has created complex data dashboards for management teams using Google Data Studio. He has demonstrated proficiency in developing custom tracking solutions and enhancing eCommerce tracking for Google Analytics. His technical skills include setting up A/B tests and conducting health checks on product feeds, which contribute to improved analytics and data-driven decision-making.