Luxury Presence is the leading growth platform for high-performing real estate agents, teams, and brokerages. The company provides agent-branded websites, advanced marketing tools, and Presence® CRM, the AI relationship engine that transforms an agent’s sphere into a proactive source of new business. More than 17,000 real estate businesses rely on Luxury Presence to elevate their brand, attract clients, and grow their business, including 30% of the Wall Street Journal RealTrends top agents and teams.
We’re looking for a Senior Analytics Engineer to build and scale the analytical foundation that powers decision-making across Go-to-Market, Product, Finance and Operations teams.
You will sit at the intersection of data engineering and analytics: transforming raw product, marketing, and financial data into clean, well-modeled, and trustworthy datasets. Your work will power everything from executive dashboards and cohort analyses to experimentation, pricing, and AI product insights.
This is a highly cross-functional role — you’ll partner closely with Product Management, Marketing, RevOps, Finance, and Engineering to ensure our analytics stack is robust, scalable, and aligned with the business.
Responsibilities
• Build & Own the Data Foundation
◦ Own and evolve our dbt project–ensuring models are performant, well-tested, and documented.
◦ Design and maintain the Snowflake data warehouse and ingestion processes.
◦ Use modern data modeling best practices to create core entities and datasets that account for complex business processes and logic.
• Drive Data Quality & Automation
◦ Implement testing and observability for analytics pipelines
◦ Enforce CI/CD best practices, such as automation, linting, tests, code review and approvals.
◦ Standardize metric definitions and ensure they are consistently computed across tools.
• Cross-Functional Collaboration
◦ Act as data liaison between Engineering, GTM, and Finance—ensuring consistent metric definitions and proper system instrumentation.
◦ Enable stakeholder self-service access to trusted insights.
◦ Drive data literacy: evangelize best practices in querying, dashboarding, and interpreting metrics; coach stakeholders toward self-serve.
Qualifications
