Multifamily Revenue Management Product Analyst

ApartmentIQ is a profitable, growth-stage company building industry-leading martech and data products for the PropTech space. The Multifamily Revenue Management Product Analyst will bridge multifamily revenue management and data science, applying expertise to develop data-driven products that enhance pricing intelligence in the multifamily sector.

Responsibilities:

• Research and experiment with multifamily datasets to identify opportunities for new product features and pricing insights
• Partner with product managers and engineers to define requirements and design data-driven capabilities for ApartmentIQ's revenue management products
• Translate revenue management workflows into scalable tools and features — you should be able to sit in a pricing call and immediately understand what the revenue manager is trying to solve
• Apply LLMs and other AI techniques to accelerate research, automate workflows, and unlock new insights from structured and unstructured market data
• Design and run experiments to measure whether our data and recommendations actually drive better RM outcomes for customers
• Act as a subject matter expert on multifamily revenue management, ensuring the product reflects real-world operator needs
• Create clear documentation, dashboards, and analyses to communicate findings and product opportunities
• Stay current on multifamily industry trends, data sources, AI/ML advances, and pricing methodologies

Requirements:

• 3–5 years of experience in or alongside multifamily revenue management — as a pricing analyst, RM advisor, asset manager, or in a strategy or analytics role at a multifamily operator or tech company
• A genuine, working understanding of how pricing decisions get made: occupancy/rate tradeoffs, concession economics, net effective rent, renewal strategy, and how seasonality shapes leasing behavior
• Entrepreneurial mindset: comfortable in a fast-paced, product-building environment
• Experience applying LLMs or AI/ML techniques to accelerate research, automate analysis, or extract insights from data
• Strong quantitative and analytical skills with proficiency in SQL
• Familiarity with modern data science practices, including model building, experimentation, and validation
• Strong business acumen and ability to translate operator workflows into product features
• Excellent communication skills — comfortable explaining complex data insights to both technical and non-technical stakeholders
• Proficiency in Python or similar
• Experience building customer-facing analytical products or dashboards