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As a Senior Analytics Engineer, you will build and maintain the data foundation for analytics, ensuring data quality and collaborating cross-functionally to support better decision-making across teams.
Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages. Our award-winning websites, cutting-edge marketing solutions, and AI-powered mobile platform empower real estate professionals to grow their business, operate more efficiently, and deliver exceptional service to their clients. Trusted by over 80,000 real estate professionals, including 31 of the nation’s 100 top-performing agents as published in the Wall Street Journal, Luxury Presence continues to set the standard for innovation and excellence in real estate technology.
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
Must Have:
- 5+ years of experience as an analytics engineer, data engineer, or a similar role in a SaaS environment.
- Deep expertise in SQL, dbt and modern data modeling best practices.
- Proven experience working with event-based and product usage data (e.g., Posthog, Mixpanel).
- Experience connecting marketing data (paid ads, campaigns, attribution) to product analytics–ideally having built end-to-end pipelines from ad platforms through to conversion and retention metrics.
- Comfortable with large-scale data systems (Snowflake, BigQuery, Redshift).
- Strong familiarity with CI/CD, Git-based workflows, and automated testing.
- Experience collaborating cross-functionally with engineers, analysts, and product managers.
- Demonstrated success using analytics to drive decisions in a technical or product-focused environment.
- Comfort taking ownership of ambiguous problems and designing end-to-end solutions.
Nice to Have:
- Proficiency in Python for deeper analysis and automation.
- Experience building and maintaining Airflow DAGs.
- Experience with Spark and PySpark.
What Success Looks Like
- Establish a trusted, well-modeled analytics layer that product managers, marketers, and leaders rely on daily.
- Improve data quality and reliability, with clear SLAs and observability around our most critical models.
- Drive down time-to-insight by enabling self-serve access to high-quality datasets and metrics.
- Extreme ownership over critical infrastructure and data models that directly impact product decisions and business growth.
- Partner with data engineers and analysts to build a semantic layer that AI can use to answer stakeholder questions.
Join us in shaping the future of real estate
The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages.
We’re a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition.
Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We’re backed by world-class investors, including Bessemer Venture Partners, Toba Capital, and Switch Ventures, and have raised $52.6 million to date.
More than 15,000 real estate businesses rely on our platform, including 31 of the RealTrends top 100 agents featured in The Wall Street Journal. Additionally, many of the industry’s most powerful brokerages — including Compass, Coldwell Banker, and Sotheby’s International Realty — rely on Luxury Presence as a trusted business partner.
Every year since 2020, Luxury Presence has ranked on BuiltIn’s Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we’ve received several Tech100 Awards, and our lead nurturing tool just scored an Inman Innovation Award for Best AI-Powered Platform.
Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Top Skills
Airflow
Dbt
Mixpanel
Posthog
Pyspark
Python
Snowflake
Spark
SQL
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