Note: The job is a remote job and is open to candidates in USA. Luxury Presence is building an AI growth platform for the real estate industry. The Senior Data Analyst will deliver decision-ready analysis for Sales, Marketing, and Client Success while building GTM data models, ensuring data quality, and contributing to BI-as-code and agentic analytics workflows.
Responsibilities
- 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
- 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
- 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
- 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
Skills
- 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)
- 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
- 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
- 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
- Experience with at least one modern BI tool (Sigma, Hex, Tableau, Looker, or similar) is a strong plus, not a hard requirement
Company Overview