Senior Analytics Engineer - CANADA

Location: Canada <p><strong>Luxury Presence </strong>is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.</p> <h3><strong>The Role</strong></h3> <p>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, People, and Operations teams.</p> <p>You will sit at the intersection of data engineering and analytics: transforming raw product, marketing, financial, and operational data into clean, well-modeled, and trustworthy datasets. Your work will power everything from executive dashboards and cohort analyses to experimentation, billing operations, AI-powered outreach, and semantic layers that let AI agents answer stakeholder questions autonomously.</p> <p>This is a highly cross-functional role — you'll partner closely with Product Management, Marketing, RevOps, Finance, People Ops, and Engineering to ensure our analytics stack is robust, scalable, and aligned with the business.</p> <h3><strong>Responsibilities</strong></h3> <h3><strong>Build &amp; Own the Data Foundation</strong></h3> <ul> <li> <p>Own and evolve our dbt project — ensuring models are performant, well-tested, and documented.</p> </li> <li> <p>Design and maintain the Snowflake data warehouse and ingestion processes.</p> </li> <li> <p>Use modern data modeling best practices to create core entities and datasets that account for complex business processes and logic.</p> </li> <li> <p>Build and maintain custom Python/Airflow pipelines to ingest data from third-party APIs into Snowflake.</p> </li> <li> <p>Design and operate cross-system reconciliation models that compare data across source systems to surface discrepancies and protect revenue.</p> </li> </ul> <h3><strong>Drive Data Quality &amp; Automation</strong></h3> <ul> <li> <p>Implement testing and observability for analytics pipelines.</p> </li> <li> <p>Enforce CI/CD best practices, such as automation, linting, tests, code review and approvals.</p> </li> <li> <p>Standardize metric definitions and ensure they are consistently computed across tools.</p> </li> <li> <p>Investigate and document data incidents end-to-end — from root cause analysis through remediation tracking and stakeholder communication.</p> </li> </ul> <h3><strong>Cross-Functional Collaboration</strong></h3> <ul> <li> <p>Act as data liaison between Engineering, GTM, and Finance — ensuring consistent metric definitions and proper system instrumentation.</p> </li> <li> <p>Enable stakeholder self-service access to trusted insights.</p> </li> <li> <p>Drive data literacy: evangelize best practices in querying, dashboarding, and interpreting metrics; coach stakeholders toward self-serve.</p> </li> </ul> <h3><strong>Build AI-Ready Data Infrastructure</strong></h3> <ul> <li> <p>Design and maintain Snowflake Cortex semantic views that serve as the governed data interface for AI agents and LLM-powered tools.</p> </li> <li> <p>Partner with AI/product teams to scope, build, and validate the semantic layer definitions that power internal AI assistants.</p> </li> <li> <p>Build measurement frameworks for AI-powered initiatives — including experiment design and attribution modeling.</p> </li> </ul> <h3><strong>Qualifications</strong></h3> <h3><strong>Must Have:</strong></h3> <ul> <li> <p>5+ years of experience as an analytics engineer, data engineer, or a similar role in a SaaS environment.</p> </li> <li> <p>Deep expertise in SQL, dbt, and modern data modeling best practices.</p> </li> <li> <p>Proficiency in Python for pipeline development, API integrations, and automation.</p> </li> <li> <p>Experience modeling Salesforce data — opportunities, contracts, subscriptions, cases, and field history.</p> </li> <li> <p>Proven experience building custom ELT pipelines that ingest data from third-party APIs into a cloud data warehouse.</p> </li> <li> <p>Experience designing cross-system reconciliation models — joining, deduplicating, and comparing data across multiple source systems to surface discrepancies.</p> </li> <li> <p>Proven experience working with event-based and product usage data (e.g., Posthog, Mixpanel).</p> </li> <li> <p>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.</p> </li> <li> <p>Experience designing and maintaining semantic layers that serve as governed data interfaces (dbt Semantic Layer, Snowflake Cortex, or similar).</p> </li> <li> <p>Comfortable with large-scale data systems (Snowflake, BigQuery, Redshift).</p> </li> <li> <p>Strong familiarity with CI/CD, Git-based workflows, and automated testing.</p> </li> <li> <p>Experience collaborating cross-functionally with engineers, analysts, and product managers.</p> </li> <li> <p>Demonstrated success using analytics to drive decisions in a technical or product-focused environment.</p> </li> <li> <p>Comfort taking ownership of ambiguous problems and designing end-to-end solutions.</p> </li> </ul> <h3><strong>Nice to Have:</strong></h3> <ul> <li> <p>Experience building and maintaining Airflow DAGs and orchestrating multi-source API ingestion pipelines.</p> </li> <li> <p>Strong foundation in statistics and experiment design — A/B testing, significance testing, and measuring incremental impact.</p> </li> <li> <p>Experience with predictive modeling fundamentals — classification, feature selection, and model evaluation.</p> </li> <li> <p>Familiarity with financial SaaS metrics and billing operations (ARR/MRR/NRR, subscription reconciliation, revenue recognition).</p> </li> <li> <p>Experience with people analytics (headcount, attrition, compensation benchmarking).</p> </li> </ul> <h3><strong>What Success Looks Like</strong></h3> <ul> <li> <p>Establish a trusted, well-modeled analytics layer that product managers, marketers, and leaders rely on daily.</p> </li> <li> <p>Improve data quality and reliability, with clear SLAs and observability around our most critical models.</p> </li> <li> <p>Drive down time-to-insight by enabling self-serve access to high-quality datasets and metrics.</p> </li> <li> <p>Extreme ownership over critical infrastructure and data models that directly impact product decisions and business growth.</p> </li> <li> <p>Partner with data engineers and analysts to build a semantic layer that AI agents can use to answer stakeholder questions — and actively maintain the semantic views that power those agents.</p> </li> <li> <p>Proactively identify and quantify data discrepancies across systems and drive them to resolution with operational teams.</p> </li> <li> <p>Design measurement frameworks for new initiatives — defining what to track, how to measure impact, and what "success" means before launch.</p> </li> </ul> <h3>Compensation</h3> <h3>Additional Information</h3> <p><strong>Join us in shaping the future of real estate</strong></p> <p>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.</p> <p>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.</p> <p>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, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date.</p> <p>More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry's most powerful brokerages rely on Luxury Presence as a trusted business partner.</p> <p>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 we just scored an Inman Innovation Award for Best AI-Powered Platform.</p> <p><strong>Luxury Presence is an Equal Opportunity Employer.</strong> All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.</p> GDPR Compliance: Sourced via verified public channels under Legitimate Interests (Art. 6(1)(f) GDPR). [Contact Info Protected]

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