Web Analyst (Part-Time)

TripleTen is a leading online coding bootcamp that offers to learn coding and data analysis skills for tech industry jobs in less than a year in the US, Latin America, and Israel.

Our research-based learning method is focused on ensuring that after completing our program, every student, regardless of their initial abilities, will find employment in tech industry with 100% money-back guarantee and 87% employment rate among our 6K+ graduates.

We are looking for a skilled Part-time Web Analyst who will support our team in exploring new audiences, their behavior in sales funnels, and assessing the financial impact of experiments.

Please submit all Resumes / CV's in English.

• Set up event tracking in Google Analytics and Google Tag Manager for comprehensive data collection.
• Configure conversion tracking into advertising pixels (Facebook, Google Ads, etc.).
• Conduct traffic analysis and tag search investigations to optimize performance and find blind-spots.
• Implement other ad-hoc tasks related to analytics and data management.

• Remote part-time cooperation(about 5-10 hours per week).
• 500 - 900 Euros per month.
• Convenient digital office with collaboration tools like Mattermost, Miro, Notion.
• Professional freedom, where we trust your experience instead of wasting each other's time and effort micromanaging.
• International team of professionals.

REQUIREMENTS

• 1+ years of experience as a Web Analyst.
• In-depth understanding of web analytics systems and their functionalities.
• High proficiency in web analytical tools such as Google Tag Manager, Google Analytics 4.
• Proficiency in configuring conversion tracking and event tracking across various analytical and advertising platforms.
• Excellent analytical skills and working experience with SQL and Excel for data querying and manipulation.
• Handle multiple tasks and prioritize effectively in a fast-paced environment.
• Сommunication skills to collaborate effectively with team members.
• Must have own laptop and high speed internet.

Preferred qualifications:

• Familiar with educational products.
• Previous experience with automation systems like Make for seamless data transmission.
• Working experience in digital advertising systems accounts.