Job Opportunities API

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. About the Role The Data Science & Analytics organization at Realtor.com is looking for a Senior Data Analyst to join our team as a strategic partner supporting Lead Intelligence & Revenue Optimization. This role will provide strategic insights and data driven guidance to support the creation of a unified engine that strategically supports the full lifecycle of a lead—optimizing lead generation and inventory allocation to maximize organizational yield and client satisfaction. As a Senior Data Analyst, you will not just report data; you will be a key analytical engine driving our revenue management strategy. You will work at the intersection of supply quality and demand yield, using data to drive precise decisioning for geo-targeted marketing and smart inventory management. What You’ll Do Lead Intelligence Strategy & Support: Act as the primary analytical partner for the Lead Intelligence initiative, helping to define and align lead inventory allocation and optimization across all geographies. Advanced Forecasting & Modeling: Evolve and improve sophisticated forecasting models for lead delivery and sales pipeline. You will perform scenario analysis to maximize outcomes while optimizing the consumer and client experience. Inventory & Yield Optimization: Conduct deep-dive analyses to identify and prioritize high-value leads by geography and intent signal. Use these insights to recommend rules-based allocation strategies that optimize yield. Impact Simulation: Simulate and report on the knock-on effects of changes to product eligibility and allocation rules across various business units. KPI Development & Monitoring: Track and forecast lead delivery for operational planning, building new KPIs to measure the success of lead outcomes and revenue optimization. Cross-Functional Partnership: Collaborate with Product, Tech, Pricing, and Client Engineering teams to ensure the standardized implementation of rules across the RDC ecosystem. What You’ll Bring Education & Experience: Bachelor's Degree in Business Analytics, Math, Economics, or a related field, with 5+ years of experience analyzing data to answer critical business questions. Master’s Degree with 3+ years of experience or PhD also eligible. Technical Mastery: Advanced knowledge of SQL is required. Proficiency in Python or R is a plus for building sophisticated optimization models. Data Visualization: Experience with tools like Tableau, Shiny, or Streamlit to create impactful data stories for executive stakeholders. Analytical Rigor: Strong understanding of experimentation and statistics (e.g., hypothesis testing, regression analysis, and statistical modeling) to analyze lead and feature-level performance. Experience with modeling and simulation capabilities preferred. Cloud Platforms: Experience working within cloud-based environments such as AWS and Snowflake. Strategic Thinking: Ability to handle operational complexity and move from "what" the data says to "why" it is moving, enabling data-driven decisioning for the entire organization. Agility: Comfort working in a highly agile, intensely iterative environment where you must