Marketing Analytics Intern

About the team

The Marketing team is how most people find House AI. We turn real redesigns made in the app into posts, videos, pins, articles and campaigns, and we measure every piece by the people it brings to the app. The team works closely with the founders, the creator partnerships team and design.

About the role

We're looking for a Marketing Analytics Intern to turn House AI's marketing data into clear answers about which channels, posts and campaigns bring people to the app.

Every post, pin, video and campaign we run should have a number attached. You will pull the data together, build the weekly reports and dashboards the team works from, and dig into the questions those numbers raise. You will work with every marketing channel lead, growth marketing and the founders.

This internship is 100% remote and open to students anywhere in the United States or the United Kingdom. It is 20 hours a week for the Fall 2026 term.

In this role, you will

• Build reporting: Maintain the weekly marketing report covering every channel's reach, traffic, installs and conversions.
• Clean the data: Pull data from social platforms, the website and the app into one consistent view.
• Answer questions: Investigate what drove a spike or a drop, and explain it in plain language.
• Attribute results: Help connect installs and subscriptions back to the channels and campaigns that drove them.
• Support experiments: Help growth marketing design tests and read their results correctly.
• Recommend: End every report with what to do more of, what to do less of and what to try next.

You might thrive in this role if you have

• Current enrollment in a degree program, or a degree finished in the last year. Any major, as long as you can show the work.
• Strong spreadsheet skills: lookups, pivot tables and charts.
• Comfort with numbers, percentages and basic statistics.
• Clear writing that explains data to people who do not work with it.
• Attention to detail and a habit of checking your own numbers.
• Curiosity about why a number moved.

Nice to have

• Coursework in statistics, economics, data science or marketing analytics.
• Experience with SQL, Python, Looker Studio or a similar tool.
• Familiarity with social platform analytics or Google Analytics.

Hours, pay and terms

• 20 hours a week, part time.
• Fully remote. You can be anywhere in the United States or the United Kingdom.
• Unpaid. There is no stipend and no health coverage.
• Perks: a letter of recommendation at the end of the term, course credit support (we sign faculty sponsor forms, take check-in calls with your professor and complete end-of-term evaluations), mentorship, and help with your resume and LinkedIn.
• You get access to the AI tools you need for your work.
• Fall term runs August 10 to December 18, 2026, with rolling start dates inside the term.
• Applications close October 31, 2026.
• Work authorization is not required.

Course credit

Course credit is supported. We sign faculty sponsor forms, take check-in calls with your professor, and complete end-of-term evaluations. Your supervisor is Jeffrey Escobar, CTO.

How to apply

Send your resume or CV and a few sentences about your goals: what you want to learn, what you want to work on, and why House AI. That is all we need to start. We read every application.

• Apply: Send your resume and a few sentences about your goals. It takes about two minutes.
• Introductory call: If your background fits the role, you get a link to book a 15-minute video call with the hiring team.
• Working interview: The next business day, a 30-minute session where you work through a real House AI task with the AI tools we use every day.
• Decision: If it is a match, you get an offer the same day and start on a real project right away.