Senior Lead Intelligence Analyst

Summary

About the RoleThe 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.Top Reasons to Apply: High-Impact Marketplace Optimization: You will directly influence revenue routing and inventory yield strategies across a massive, national two-sided marketplace.Full Ownership of Next-Gen Data Layers: Transition V1 builds from external vendors into internal hands, taking full ownership of our predictive close models and Lead-To-Transact pipeline.Complex Data Problem Solving: Uncover non-obvious revenue streams, such as identifying low-priority land-listing leads that actually convert into high-value single-family home transactions.Direct Stakeholder & Executive Visibility: Partner directly with Product, Tech, Pricing, and Engineering teams to transform complex statistical insights into executive dashboards and automated allocation rules.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 BringEducation & 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 manage multiple priorities and ambiguous concepts.How We Work:We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our Austin headquarters, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.How We Reward You:Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:Inclusive and Competitive medical, Rx, dental, and vision coverageFamily forming benefits13 Paid HolidaysFlexible Time Off8 hours of paid Volunteer Time offImmediate eligibility into Company 401(k) plan with 3.5% company matchTuition Reimbursement program for degreed and non-degreed programs1:1 personalized Financial Planning SessionsStudent Debt Retirement Savings Match programFree snacks and refreshments in each office location#J-18808-Ljbffr

Job Description

About the RoleThe 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.Top Reasons to Apply: High-Impact Marketplace Optimization: You will directly influence revenue routing and inventory yield strategies across a massive, national two-sided marketplace.Full Ownership of Next-Gen Data Layers: Transition V1 builds from external vendors into internal hands, taking full ownership of our predictive close models and Lead-To-Transact pipeline.Complex Data Problem Solving: Uncover non-obvious revenue streams, such as identifying low-priority land-listing leads that actually convert into high-value single-family home transactions.Direct Stakeholder & Executive Visibility: Partner directly with Product, Tech, Pricing, and Engineering teams to transform complex statistical insights into executive dashboards and automated allocation rules.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 BringEducation & 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 manage multiple priorities and ambiguous concepts.How We Work:We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our Austin headquarters, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.How We Reward You:Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:Inclusive and Competitive medical, Rx, dental, and vision coverageFamily forming benefits13 Paid HolidaysFlexible Time Off8 hours of paid Volunteer Time offImmediate eligibility into Company 401(k) plan with 3.5% company matchTuition Reimbursement program for degreed and non-degreed programs1:1 personalized Financial Planning SessionsStudent Debt Retirement Savings Match programFree snacks and refreshments in each office location#J-18808-Ljbffr