Senior Data Analyst, GTM Analytics - US (Remote)

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.