FAQs
What are the dates for the internship program?
The internship program will start on Thursday, May 29, 2025, and end on Friday, August 8, 2025.
What are the educational requirements for applicants?
Applicants must have at least a 3.0 GPA or greater at the time of application and must be enrolled in an educational institution.
How often will interns work in the office?
Interns will be in the office 4 days a week and can work remotely 1 day a week.
What kind of work will the Marketing Analytics Intern be doing?
The intern will conduct research, develop digital campaign analytics reports, assist with budget planning, collaborate with marketing and sales teams, and support the creation of client-facing materials.
Is prior experience in marketing or analytics required for this internship?
Direct experience or an internship with digital analytics, research, brand, product, integrated marketing, digital marketing, and/or advertising sales marketing is a plus but not mandatory.
What are some key skills required for this internship?
Required skills include outstanding verbal and written communication, project management, strong analytical skills, proficiency in MS Excel and PowerPoint, as well as innovative thinking and storytelling abilities.
Will the intern work independently?
Yes, the intern must be able to work independently on a project basis and meet frequent deadlines.
Is there a video available to learn more about the internship program?
Yes, there is a video featuring interns discussing their experiences in the program. It can be found at https://vimeo.com/857554118.
What benefits are offered to interns?
The internship offers competitive pay, and interns will gain valuable experience and skills that can help advance their careers in marketing and analytics.
Are there any specific tools or software the intern will be expected to use?
Interns are expected to have expertise in MS Excel (including Vlookup and Pivot tables) and PowerPoint, as well as familiarity with various proprietary databases and analytics tools.