Top Data & Analytics Jobs

Own the technical strategy, architecture, and roadmap for enterprise clickstream data collection across web and mobile products. Define event taxonomies, instrumentation specifications, data contracts, and measurement standards; validate data quality using SQL and Snowflake; investigate tracking discrepancies; and drive architectural improvements. The role partners across engineering, product, marketing, analytics, and QA, while mentoring technical teams and promoting governed, self-service analytics.

Architect and lead enterprise data quality, observability, and validation frameworks for lead management systems. Own data integrity across ingestion, processing, and delivery pipelines; define data contracts, governance standards, SLAs, dashboards, and alerting. Diagnose systemic issues across distributed data flows, drive scalable architectural solutions, advise senior stakeholders, and mentor data engineers. Partner cross-functionally with Engineering, Product, and Data Science to improve reliability, customer fulfillment, and marketplace performance.

Lead administration and strategic evolution of a petabyte-scale Snowflake data warehouse supporting more than 900 users. Responsibilities include platform reliability, incident response, security and governance, monitoring, automation, schema migration, cost optimization, data quality, and compliance. The role partners with data and analytics teams, evaluates technologies, leads architecture reviews, and mentors engineers on Snowflake administration and data warehouse best practices.

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.

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.

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.