Senior Data Analyst, GTM Analytics - US

• 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.

• 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).

• 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.

• 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.