Senior Data Analyst, GTM Analytics - US (Remote)

Luxury Presence; Northern (KY); Hybrid; USD 145,000 - 175,000; Full time

Job summary

Luxury Presence in the real estate tech space is seeking an experienced GTM Analytics professional to own pipeline, funnel, and campaign insights. You’ll partner with Sales, Marketing, and CS leaders to turn questions into testable analyses and help scale Lighthouse, our BI-as-code platform.

You’ll work in two‑week sprints with Analytics Engineering, own data quality, and help push agentic AI workflows that accelerate reporting while maintaining rigor and trust in metrics.

Qualifications

• 5+ years in analytics/BI supporting Sales, Marketing, or CS in a fast-growing company.
• Expert SQL and hands-on dbt experience modeling GTM data.
• Python for analysis and automation.
• Experience with Salesforce as a data source and CRM objects modeling.
• Familiarity with a modern data stack and cloud warehouses (Snowflake; BigQuery welcome).

Responsibilities

• Deliver decision-ready analysis across Sales, Marketing, and CS: pipeline health, funnel conversion, and retention.
• Partner with stakeholders to scope questions, frame recommendations, and drive decisions beyond dashboards.
• Contribute to Lighthouse and AI-forward analytics, defining how dashboards and semantic models are written and versioned.

Skills

SQL

dbt

Python

Salesforce

Fivetran

Snowflake

BigQuery

Tools

Looker

Tableau

Sigma

Hex

Claude Code

Claude Code

Job description

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.

$145,000 - $175,000 a year

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.