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Senior Data Analyst, GTM Analytics - CANADA (Remote)

RemoteCanada only
Published
Role
Data Engineering
Experience
Senior
Employment
Full-time
Salary not disclosed
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Open to CA only. Set where you work from to check your eligibility.

No BS summary

Senior Data Analyst for GTM Analytics, remote within Canada. 5+ yrs in analytics/BI supporting Sales, Marketing or CS; expert SQL and hands-on dbt, plus Python and Salesforce as a data source.

Core skills

SQLdbt

Required skills

PythonSalesforceFivetranSnowflake/BigQuery

Optional skills

SigmaHexTableauLookerClaude CodeCodex

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
  • 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
  • Contribute to Lighthouse, our BI-as-code platform — 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

What they require

  • 5+ years in analytics/BI, with meaningful time supporting Sales, Marketing, or Customer Success functions at a fast-growing company
  • Expert SQL and hands-on dbt experience modeling GTM data
  • Comfortable with Python for analysis and automation
  • 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)
  • 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
  • Energized by ambiguity and fast iteration — two-week sprints mean you'll ship early and often

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