Data Analyst, Marketplace & Revenue Growth

Socket.dev; Austin, Northern (TX, KY); Hybrid; USD 95,000 - 125,000; Full time

Benefits offered by this job

Flexible Time Off

Company 401(k) with 3.5% match

Tuition Reimbursement

Volunteer Time Off

Job summary

Realtor.com is seeking a Data Analyst to own the commercial measurement engine for Spotlight Listings, shaping KPIs, SSOT dashboards, and pricing strategies. You will build capacity models, run rigorous experiments, and deliver revenue-focused insights in a fast-paced marketplace.

The role requires strong data science foundations, SQL/Python expertise, and experience translating analytics into business impact, with high-visibility collaboration across Product, Marketing, and Sales.

Qualifications

• 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

Skills

Data science

Quantitative analytics

Causal inference

Experimental design

SQL

Python

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field

Tools

Snowflake

dbt

Job description

Realtor.com is seeking a Data Analyst to own the commercial measurement engine for Spotlight Listings, shaping KPIs, SSOT dashboards, and pricing strategies. You will build capacity models, run rigorous experiments, and deliver revenue-focused insights in a fast-paced marketplace.

The role requires strong data science foundations, SQL/Python expertise, and experience translating analytics into business impact, with high-visibility collaboration across Product, Marketing, and Sales.