Data Analyst, Spotlight Listings

Realtor.com Careers•Austin, TX

1d•Hybrid

About The Position

Realtor.com® is seeking a Data Analyst, Spotlight Listing to join their team. This role is ideal for someone with marketplace analytics expertise who wants to own the commercial measurement engine behind one of real estate's most visible listing-promotion products. The position offers the opportunity to pursue professional goals while helping to grow an innovative real estate tech company. The company's mission is to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.

Requirements

2+ years of experience in data science or quantitative analytics, with a track record of owning a product or business unit's measurement framework end-to-end — not just contributing analyses to someone else's model
Deep fluency in causal inference and experimental design, including experience with marketplace or two-sided platform settings where standard A/B assumptions require adjustment
Advanced SQL and Python skills applied to large-scale clickstream and transaction data; experience with Snowflake and dbt strongly preferred
Demonstrated ability to translate analytical findings into commercial decisions, with evidence that your recommendations were adopted and had measurable revenue or product impact
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field; advanced degree a plus

Responsibilities

Design and own the canonical performance measurement framework for Spotlight Listings — defining the KPIs that actually reflect product health at scale, building the SSOT dashboards that leadership and FP&A rely on weekly, and setting the instrumentation specs that make every new SPL surface measurable from day one
Build and maintain the inventory capacity model that determines token caps at the market level, calibrated against impression share and uplift targets, and partner with Sales to operationalize those limits as durable guardrails in Salesforce
Lead experimental design for SPL pricing, packaging, and renewal interventions — scoping tests with adequate statistical power, selecting the right estimators for a two-sided marketplace setting, and delivering readouts that are defensible at the executive level and actionable for the product team
Own SPL revenue and activation reporting end-to-end: weekly pacing for leadership, monthly inputs for FP&A, pack and subscription-level economics, and analytical support for enterprise agreements and Teams pricing pilots
Drive data quality and pipeline integrity across all SPL assets — investigating and resolving issues at root cause, coordinating with Engineering and the data platform team to close structural gaps permanently, and maintaining Tier 1 reliability standards
Partner with Product, Marketing, and Sales on pricing and packaging decisions, including a-la-carte vs. pack economics, guest checkout funnel conversion, and token-utilization patterns that predict renewal risk and inform proactive account outreach