Top Data & Analytics Jobs in Austin, TX

Lead intelligence and revenue optimization through advanced forecasting, statistical modeling, scenario analysis, lead inventory allocation, yield optimization, KPI development, and executive reporting. Partner with Product, Technology, Pricing, and Engineering teams to implement data-driven allocation rules and improve lead delivery, conversion, revenue, and client experience across a national marketplace.

Own the measurement framework for a marketplace product, including KPIs, dashboards, instrumentation, reporting, experimentation, statistical modeling, forecasting, and opportunity sizing. Analyze product engagement, conversion funnels, feature performance, and NPS drivers. Partner with Product, Marketing, Sales, and data teams to deliver actionable insights, improve analytics capabilities, and influence commercial and product decisions.

Own the measurement framework for Spotlight Listings, including KPIs, dashboards, instrumentation, capacity modeling, revenue reporting, experimentation, and data quality. Analyze pricing, packaging, renewal, activation, and marketplace performance using causal inference and statistical methods. Partner with Product, Marketing, Sales, Engineering, and FP&A to guide commercial decisions and improve product and revenue outcomes.

Leads Realtor.com’s enterprise Data & Analytics organization, overseeing data engineering, governance, data science, BI, experimentation, pricing, revenue management, lead intelligence, and data commercialization. Defines data strategy and architecture, advances AI capabilities, develops pricing and predictive models, partners with executives and cross-functional teams, and scales a multidisciplinary organization. Requires deep technical expertise, executive leadership, advanced analytics experience, and strong communication skills.

The Senior Data Analyst will partner with Avail stakeholders to analyze complex data, define and track KPIs, build automated reports and dashboards, and deliver insights for strategic, product, marketing, and operational decisions. Responsibilities include end-to-end analytics, data-layer collaboration, business performance reporting, market analysis, forecasting, opportunity sizing, and enabling self-service analytics. The role requires strong SQL, BI, communication, and cross-functional collaboration skills.

Lead the technical strategy and architecture for a modern, real-time enterprise data platform. Design scalable data models, ingestion strategies, governance, security, compliance, and cost-optimization initiatives. Drive the data roadmap across multiple squads, make strategic technical decisions, collaborate with business stakeholders, troubleshoot complex issues, and mentor engineers. The role requires hands-on leadership in data architecture, real-time platforms, and enterprise data strategy.