Altius Education, an online higher education start-up in San Francisco, is looking for a product marketing analytics intern this summer. The position is
highly quantitative but also involves managing an outsourced team and working closely with a Stanford grad (BA, MA, MBA). We're looking for someone to
start either immediately (either part-time or full-time) or on July 9th. The length of the internship is flexible but we're hoping for about 10 weeks.
Please reach out to me if interested at dawn.cardon@altiused.com

Product Marketing Analytics Intern
Altius Education

Type: 

Full-Time Internship

Reports To: 

Senior Product Manager, Marketing

Start date:

Immediate

Start date:

Immediate

Description: 

The Ivy Bridge College and Altius University Marketing team is seeking a product marketing analytics rock star with experience in statistical analysis, regressions, modeling, marketing analytics and project management. The primary responsibility of the Product Marketing Analytics Intern will be to develop, maintain, and optimize marketing communications to our potential and current students.  This is a great opportunity for a talented, ambitious candidate currently enrolled in an undergraduate or graduate degree program in a technical or analytical field to grow in the fast-paced atmosphere of an established start-up.

LOCATION: San Francisco, CA

Responsibilities: 

The Product Marketing Analytics Intern is the quantitative powerhouse for the marketing services organization, designing and conducting analysis that guides our marketing decisions and helps us to optimize spend.  You will work with our operations and marketing teams to run critical analyses and even manage a few offshore employees in a larger marketing product.

Some of the specific analytic projects you will work on over the summer are below:

#1. A regression that shows the impact of inquiry volume on inquiry score. In other words, how the quantity of inquiries generated impacts the quality. Combining these results with the average cost per enrollment by inquiry score, you will construct a model comparing the impact of increasing volume on inquiry and cost per enrollment and the impact of increasing inquiry score on volume and cost per enrollment.

#2. Multivariable regression analysis to measure the correlation between several aggregate student data points (e.g., application rate) and retention rate.

#3. Construction of a weighted model combining all metrics mentioned above into a single marketing score that is predictive of retention and cost.

If the following sounds like you, let’s talk!

• You love data and aren’t afraid of technology.  You’ll be working with data we collect in-house as well as data we continue to collect from various sources. Thus, you’ll need to be a bit entrepreneurial and flexible in your ability to draw learnings from data of all types and sources.

• You can run a regression like nobody’s business.  Knowledge of and experience in statistical modeling and running multivariate regressions to make real-world decisions (e.g., to optimize marketing spend)

• You have substantive modeling experience and feel comfortable with the analyses described above.  You’ll ideally have both academic and on-the-job experience in building relatively complex models and conducting analyses. The projects described in this job description should seem reasonable and straightforward, and you should be able to construct and complete this analysis relatively independently.

• You manage collaborative projects with ease.  You’ll be working with and managing remote contractors for a large-scale data collection and Quality Assurance project.  You therefore should be comfortable with managing multiple projects simultaneously, controlling for quality while aiming for speed and efficiency, and amenable to working with people remotely.

Requirements: 

• Current student enrolled in an undergraduate or graduate in a technical field.

• Experience in quantitative marketing, collecting and analyzing diverse sources of internal and external data to make decisions about how to optimize spend.

• Significant experience in building modeling and conducting multivariate regressions.

• Ability to think creatively and develop original analysis that will deliver value to the marketing team.

• Self-starter who has the ability to work independently with minimum supervision and deliver projects in accordance with deadlines. 

EDUCATION: Bachelor’s degree in computer science, symbolic systems, engineering, statistics, mathematics, or a related technical field.

TO APPLY: Applicant should send resume and cover letter to dawn.cardon@altiused.com.