Senior Lead Intelligence Analyst

Senior Lead Intelligence Analyst

Location:

Austin, TX, United States

Category:
Data Science & Analytics

Job

About the Role

The Data Science & Analytics organization at  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.

• 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.

• 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.

• 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…