Apartment List is the premier rental matchmaker, connecting ready-to-move renters with compatible city properties. Our renters benefit from cutting-edge technology and a personalized approach when we match them with curated properties that fit their wishlist. Meanwhile, our supply partners harness our generative AI and machine learning to efficiently connect with our qualified renters. With performance-based pricing, our partners’ success is our success as we strive to deliver renters a home they love at the value they deserve.

We are seeking an experienced analyst to join our Product Analytics team at Apartment List, to be focused on the offline interactions between renters and our platform, to push the renter further down the funnel. This includes providing apartment recommendations/search, enabling preferences updates, and answering renter questions about the properties with the use of GenAI, all over SMS, Email, Chat and voice. It requires balancing a positive engaging renter experience with the needs of properties to efficiently manage their leasing queue; as a result this role has one of broadest understandings of the marketplace and its consumers. The Product Analytics team collaborates with partners across the company to solve our most difficult analytical problems. This is a high-impact role critical to driving our supply growth and expanding our market presence.

In order to understand the success of our products and features, we AB Test or Experiment on every launch. It is critical to know how confident we are in the success or failure of various launches, so that we can make recommendations to the product team and iterate.

At Apartment List, we have a lot of data to sift through, search for hidden insights and their business implications. You will be diving in to deeply understand the needs of our supply partners, collaborating closely with our Product, Engineering, Design and GTM, counterparts to make effective, analytically driven decisions. The right candidate will play a pivotal role in shaping our product strategy.

The ideal candidate has strong analytical problem solving skills, can make sense of ambiguity in data, and is a proven communicator and partner with cross functional stakeholders.

At Apartment List, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US Total Target Compensation (TTC) for this position is:

This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer.

We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Apartment List will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process.