[![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 – US 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)Share23 Sep 2026Published35Listing views2Application actions23 Oct 2026Apply before Opportunity details ## About this role. AI SummaryThis senior GTM analytics role supports 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 trusted GTM data marts using Salesforce and a modern cloud data stack. A major component is contributing to Lighthouse, a version-controlled BI-as-code platform, while applying AI agents to automate and accelerate analytical workflows. The position requires strong stakeholder partnership, ownership through decisions, and rapid delivery in two-week sprints. ## 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 role combines senior-level GTM domain knowledge, expert SQL/dbt modeling, Salesforce data expertise, and emerging BI-as-code and agentic-AI practices. Success depends on independently resolving ambiguous business questions while influencing nontechnical leaders in a fast sprint cadence. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianHighly competitive$160,000US market range$130k–$185k0$204k AI insightThe disclosed annual base salary range is USD 145,000–175,000, with a midpoint of USD 160,000. For a US-based senior GTM/data analyst with dbt, Salesforce, Python, and modern analytics engineering responsibilities, an estimated market range is USD 130,000–185,000 annually; total compensation may vary based on location, equity, and scope. ## Core skills Skills and capabilities most closely associated with this opportunity. [GTM analytics](https://jobicy.com/jobs?search_keywords=GTM%20analytics.md)[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](https://jobicy.com/jobs?search_keywords=Salesforce.md)[Snowflake](https://jobicy.com/jobs?search_keywords=Snowflake.md)[business intelligence](https://jobicy.com/jobs?search_keywords=business%20intelligence.md)[data modeling](https://jobicy.com/jobs?search_keywords=data%20modeling.md)[retention analytics](https://jobicy.com/jobs?search_keywords=retention%20analytics.md)[agentic AI](https://jobicy.com/jobs?search_keywords=agentic%20AI.md) Sample interview questionsHow would you investigate a decline in sales funnel conversion?I would first confirm the metric definition and data quality, then segment conversion by stage, acquisition channel, market, rep, customer cohort, and time period. I would identify where the largest change occurred, validate operational context with stakeholders, and quantify likely drivers before recommending specific actions and tracking their impact. Describe how you would model Salesforce data for reliable GTM reporting in dbt. I would establish source definitions and freshness tests, then model core CRM entities such as leads, contacts, accounts, opportunities, campaigns, and activities at clear grains. I would build documented intermediate models for attribution and stage history, publish tested marts for agreed business metrics, and maintain a semantic layer so dashboard calculations remain consistent. When should AI agents be used in analytics workflows, and when should they not? Agents are valuable for repeatable work such as drafting SQL, documenting models, triaging data-quality alerts, summarizing findings, and automating recurring reporting. They should not be treated as an unchecked source of truth for high-stakes decisions; I would keep human review, governed metric definitions, testing, and reproducible queries in the workflow. How do you handle an ambiguous request from a Sales or Marketing leader? I start by clarifying the decision they need to make, the audience, the deadline, and what action may change based on the answer. I then translate the request into hypotheses, required metrics, data limitations, and a scoped deliverable, sharing an early plan so stakeholders can correct assumptions before substantial work begins. How would you ensure stakeholders trust a new dashboard or metric? I would define the metric's business meaning, grain, source tables, filters, and known limitations in accessible documentation. I would reconcile results with established reporting where appropriate, add dbt tests and QA checks, review the output with domain owners, and provide a clear feedback path for ongoing improvements. 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. 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