
Senior Risk Operations Analyst Visa
- $124,300–$210,300 Per Year
| Location | Austin, TX |
Senior Lead Intelligence Analyst
Location: Austin, TX, United States
Category: Data Science & Analytics
Job ID: 3040
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Description
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.
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 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 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 coverage
Family forming benefits
13 Paid Holidays
Flexible Time Off
8 hours of paid Volunteer Time off
Immediate eligibility into Company 401(k) plan with 3.5% company match
Tuition Reimbursement program for degreed and non-degreed programs
1:1 personalized Financial Planning Sessions
Student Debt Retirement Savings Match program
Free snacks and refreshments in each office location
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