We are looking for a Marketing Digital Analytics Intern who loves data and has the drive and hunger to learn more about building and customizing web analytics and tag manager implementations.
As a Digital Marketing Analytics Intern you will:
Attend Analytics Boosters’ training session covering Google Analytics and Google Tag Manager
Conduct mini-audits of websites with regard to Google Analytics/Google Tag Manager implementation
Provide support for any Analytics department/company staff with their day-to-day activities in analysis, configuration and implementation
Learn custom reporting and analysis techniques through hands-on real-world projects and training scenarios leveraging Google Data Studio, Google Docs, Excel or Tableau
Assist team members in client deliverable creation including (but not limited to) Audits, Measurement Strategies, and Optimization
Preferred Skills and Experience
This is a part-time internship (40 hours per week)
The term will last at least three or six months
You must work onsite in our Treviso office or remote
You are interested in Analytics, Artificial Intelligence, Machine Learning
You could be a university student preparing to graduate within the next two semesters
You are at last 25-26 years old
Fluent in English and Italian, third language appreciated
Other good things to know about this opportunity:
This position is for the Italian HeadQuarter in Treviso
We prepare you to pass the Google Analytics Individual Qualification (GAIQ) at the end or your internship
We train you before you start
You could be asked to write one blog post on a relevant topic
When applicable, we will draft a letter of recommendation
We evaluate, at the end of the stage, the possibility to get you onboard
This position is for equal opportunity employer. All applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, national origin, veteran status, disability or any other characteristic protected by state, federal, or local law.
If you are interested in this position, please click on the Apply Button and send us an email with:
your LinkedIn Id
a short cover letter where you explain why you think you are the best fit for Analytics Boosters
a song and a book that represent you and why
#J-18808-Ljbffr