FAQs
What is the start date for the Marketing Analytics Intern position?
The anticipated start date for the Marketing Analytics Intern position is Summer 2025, with the possibility of extending additional semesters.
Is this internship paid?
Yes, this internship is paid, with hourly compensation ranging from $18 for undergraduates, $21 for graduate students, and $28 for Ph.D. candidates.
Will AARP sponsor an employment visa for this internship?
No, AARP will not sponsor an employment visa for this position at this time.
What qualifications are required for this internship?
Candidates should be pursuing a bachelor's or master's degree in marketing analytics, data science, statistics, business, or a related field, and must have a strong interest in marketing analytics and data-driven decision-making.
What skills are preferred for this internship?
Preferred skills include proficiency in Python, R, or SQL, experience with platforms such as Databricks, Funnel.io, Tableau, or Power BI, familiarity with Adobe Analytics and/or Google Campaign Manager data, and knowledge of experimental design and marketing measurement methodologies.
What are the working conditions for this internship?
The internship is in an office/open office environment, requiring regular and reliable attendance. Interns must be able to work effectively in a setting with moderate noise.
Can the internship be done remotely?
Yes, the internship supports a hybrid work environment, with remote work available on Mondays and Fridays, though it must be done within the United States and its territories.
What additional requirements must interns meet?
Interns are expected to exhibit respect and understanding of others to maintain professional relationships and possess effective verbal and written communication skills.
What types of analyses will the Marketing Analytics Intern be involved in?
The intern will engage in developing and optimizing multi-touch attribution frameworks, collecting and preparing data for testing and reporting, analyzing model outputs for actionable recommendations, and conducting in-depth analyses of customer data for audience segmentation.