[![Image]() Meet Jobicy Copilot — free AI autofill for job applications + remote job alerts ›](#) [All remote jobs](https://jobicy.com/jobs.md)Open role[![Luxury Presence logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/05/f2b241fb769140fff2f70e8efaf5c0ff.jpg)](https://jobicy.com/company/luxury-presence.md)Remote opportunity at[Luxury Presence](https://jobicy.com/company/luxury-presence.md) # Senior Data Analyst, GTM Analytics – CANADA Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/luxury-presence.md)Share5 Sep 2026Published28Listing views2Application actions5 Oct 2026Apply before Opportunity details ## About this role. AI SummaryThis is a senior GTM analytics role supporting Sales, Marketing, and Client Success with decision-ready analysis on pipeline, funnels, campaign performance, retention, and GRR/NRR. The analyst will build and maintain dbt models and governed data marts using Salesforce data, while owning data quality, definitions, and documentation. The role also contributes to Lighthouse, an in-progress BI-as-code platform that versions dashboards, metrics, and semantic models like software. It requires strong SQL, dbt, Python, modern warehouse/ELT experience, and the ability to apply AI agents pragmatically to analytics workflows. The analyst will work in two-week sprints and independently manage a backlog aligned to team OKRs. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe position combines senior-level business partnership with hands-on analytics engineering, governed modeling, and emerging AI-enabled BI practices. Success depends on resolving ambiguous stakeholder questions, delivering reliable GTM metrics, and influencing both technical and non-technical audiences in a fast sprint cadence. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianHighly competitive$145,000US market range$125k–$165k0$182k AI insightNo salary range is disclosed in the posting, so these are estimated US-market annual base-salary figures in USD for a senior GTM/data analyst with 5+ years of experience, expert SQL and dbt skills, Salesforce modeling experience, and substantial stakeholder ownership. Actual compensation may differ based on Canadian location, leveling, company stage, and any bonus or equity components. ## Core skills Skills and capabilities most closely associated with this opportunity. [SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[dbt](https://jobicy.com/jobs?search_keywords=dbt.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Salesforce Analytics](https://jobicy.com/jobs?search_keywords=Salesforce%20Analytics.md)[GTM Analytics](https://jobicy.com/jobs?search_keywords=GTM%20Analytics.md)[Data Modeling](https://jobicy.com/jobs?search_keywords=Data%20Modeling.md)[Snowflake](https://jobicy.com/jobs?search_keywords=Snowflake.md)[Business Intelligence](https://jobicy.com/jobs?search_keywords=Business%20Intelligence.md)[AI Agents](https://jobicy.com/jobs?search_keywords=AI%20Agents.md) Sample interview questionsHow would you investigate a decline in sales funnel conversion?I would first validate the metric definition and data freshness, then segment conversion by funnel stage, cohort, source, market, sales team, and time period. I would identify where the largest change occurred, test plausible drivers such as lead-quality mix or process changes, and present a concise recommendation with supporting evidence and follow-up monitoring. How have you used dbt to make GTM reporting more reliable? I build layered models that standardize CRM entities, create documented business-ready marts, and apply tests for key relationships, freshness, accepted values, and metric logic. I also use version control and code review so definitions such as pipeline, qualified lead, and retention are consistent across dashboards and analyses. What are common challenges when modeling Salesforce data? Salesforce data often has inconsistent field usage, changing stages, multiple object relationships, duplicate records, and historical attribution challenges. I address these through source profiling, stakeholder-approved definitions, incremental models where appropriate, explicit grain documentation, and tests that surface changes before they affect reporting. Where would you use AI agents in an analytics workflow, and where would you avoid relying on them? I would use agents to speed up exploratory SQL, documentation drafts, repetitive report generation, code scaffolding, and QA checks. I would not delegate final metric definitions, sensitive-data decisions, or high-stakes business recommendations without analyst validation, reproducible queries, and stakeholder review. How do you communicate an analytical recommendation to a non-technical GTM leader? I begin with the decision required and the headline finding, explain the business impact in plain language, then show only the evidence needed to support the recommendation. I clarify assumptions, confidence and limitations, propose concrete next actions, and confirm ownership and timing for follow-up. Luxury Presence 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. ### Why This Role Matters Our GTM Analytics team owns the metrics that run the business for Sales, Marketing, and Client Success. We’re past the phase of standing up basic reporting — we’re now building a modern, agentic analytics practice, including Lighthouse, our internal BI-as-code platform, where dashboards, metrics, and semantic definitions live in version-controlled code rather than scattered across disconnected tools. This role is a chance to shape that next chapter. You’ll partner directly with Sales, Marketing, and CS leaders to answer their hardest questions about pipeline, funnel conversion, campaign performance, and retention, while helping build the infrastructure and AI-forward workflows that let the whole GTM org get trustworthy answers faster. You’ll report to our Senior Manager of Analytics and work in tight, two-week sprints alongside Analytics Engineering, so you’ll see your work ship and get used — fast. ### What You’ll Do ### GTM Analysis & Decision Support * Deliver decision-ready analysis across Sales, Marketing, and Client Success: pipeline health, funnel conversion, campaign and channel performance, cohort/retention, and GRR/NRR drivers. * Partner directly with Sales, Marketing, and CSM stakeholders to scope questions, frame recommendations, and see analysis through to a decision — not just a dashboard handoff. * Bring structure to ambiguous asks — translate a stakeholder’s question into a clear, testable analytical approach. ### Data Modeling & Quality * Build and maintain dbt models and marts for Sales, Marketing, and CS domains, with Salesforce as a core source system. * Own data quality and documentation for your domain: clear definitions, source-of-truth tables, and QA that stakeholders can trust without double-checking. ### Lighthouse & Agentic Analytics * Contribute to Lighthouse, our BI-as-code platform, as we build it out — help define how dashboards, metrics, and semantic models get written, versioned, and reviewed like software. * Note: Lighthouse is an active build, not a finished platform — you’ll be shaping it, not just using it. * Push our analytics workflows toward agentic AI: using AI agents to accelerate analysis, automate recurring reporting, and cut down on manual, one-off dashboard requests. * Bring a point of view on where AI can replace manual analyst work versus where it can’t — you should be as comfortable prompting and evaluating an agent as writing the SQL yourself. ### How You’ll Work * Operate in two-week sprints, planning and prioritizing your own backlog against team OKRs alongside your manager. * Give clear, proactive status updates to stakeholders rather than waiting to be asked. ### What We’re Looking For ### Experience * 5+ years in analytics/BI, with meaningful time supporting Sales, Marketing, or Customer Success functions at a fast-growing company. Staff-level candidates should bring deeper scope — larger or more ambiguous problems owned end-to-end, and a track record of setting technical direction, not just executing against it. * Expert SQL and hands-on dbt experience modeling GTM data. * Comfortable with Python for analysis and automation — this isn’t a heavy ML/stats role, but you know how to script your way out of manual work. * Experience with Salesforce as a data source — you understand CRM objects, fields, and the quirks of modeling data. * Familiarity with a modern data stack: Fivetran or similar EL tooling, and a cloud warehouse (we run Snowflake; BigQuery experience also welcome). ### BI & AI Fluency * Experience with at least one modern BI tool (Sigma, Hex, Tableau, Looker, or similar) is a strong plus, not a hard requirement — what matters more is that you understand how modern BI organizations operate: governed semantic layers, self-serve dashboards, and BI-as-code approaches. * Genuine curiosity about agentic analytics — you’ve used AI agents or LLM tools to speed up analysis, and you want to help define what that looks like at scale. * We build with Claude day-to-day, so hands-on experience with Claude Code (or a similar coding agent like Codex) is a big plus — you’ll use it to move faster on dbt models, scripting, and analysis, not just as a novelty. ### Mindset * Strong communicator who can frame a recommendation clearly for a non-technical stakeholder and defend it under questioning. * Comfortable with the accountability of owning a deliverable through to closure, not just the analysis in the middle. * Energized by ambiguity and fast iteration — two-week sprints mean you’ll ship early and often. ### Compensation ### Additional Information 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, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date. 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. 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. 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. Show more [Apply now >](https://jobicy.com/jobs/152606-senior-data-analyst-gtm-analytics-canada.md) > Annual salary information is not provided for this position. 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