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Senior Data Analyst, GTM Analytics - US (Remote)

RemoteUnited States only
Published
Role
Data Engineering
Experience
Senior
Employment
Full-time
$145k–$175k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior GTM-focused data analyst, Senior level with 5+ years in analytics supporting Sales/Marketing/CS. Expert SQL and hands-on dbt required; comfortable scripting in Python and modeling Salesforce as a data source. Remote role limited to US candidates.

Core skills

SQLdbt

Required skills

PythonSalesforceSnowflakeFivetran

Optional skills

SigmaHexTableauLookerClaude CodeBigQueryexperience with AI agents/LLMs

What you'll do

  • 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.
  • 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.
  • 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 they require

  • 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).
  • 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.

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$145k–$175k/yr