Senior Data Analyst, GTM Analytics

This is a fully remote position, open to applicants in Canada.

📋 Description

• Provide decision-ready analyses across Sales, Marketing, and Client Success, focusing on pipeline health, funnel conversion, campaign and channel performance, cohort/retention metrics, and GRR/NRR drivers.

• Collaborate with stakeholders from Sales, Marketing, and CSM to define questions, formulate recommendations, and guide analyses to inform decisions.

• Convert vague stakeholder inquiries into precise, testable analytical strategies.

• Develop and sustain dbt models and marts for the Sales, Marketing, and CS sectors, utilizing Salesforce as a primary data source.

• Manage data quality and documentation, including definitions, source-of-truth tables, and quality assurance processes.

• Contribute to Lighthouse, the internal BI-as-code platform, specifying how dashboards, metrics, and semantic models are developed, versioned, and evaluated.

• Actively shape Lighthouse as a dynamic development platform rather than merely utilizing a completed system.

• Enhance analytics workflows towards agentic AI by leveraging AI agents to expedite analyses and automate recurring reports.

• Assess opportunities for AI to replace manual analyst tasks versus areas where it is not feasible.

• Work in two-week sprints and prioritize a backlog in alignment with team OKRs in collaboration with the manager.

• Deliver clear, proactive status updates to stakeholders.

• Report to the Senior Manager of Analytics and work closely with the Analytics Engineering team.

⛳️ Requirements

• 5+ years of experience in analytics/BI, with significant involvement supporting Sales, Marketing, or Customer Success functions in a rapidly growing organization.

• Proficient in SQL and possess hands-on experience with dbt for modeling GTM data.

• Familiarity with Python for analytical tasks and automation.

• Experience with Salesforce as a data source, including knowledge of CRM objects, fields, and data modeling intricacies.

• Understanding of a modern data stack, including tools like Fivetran or similar EL solutions and cloud data warehouses.

• Knowledge of contemporary BI organizations, governed semantic layers, self-service dashboards, and BI-as-code methodologies.

• A genuine interest in agentic analytics and experience utilizing AI agents or LLM tools to enhance analytical efficiency.

• Excellent communication skills to effectively convey recommendations to non-technical stakeholders and defend them during discussions.

• Proven ability to take ownership of deliverables until completion.

• Comfort with ambiguity and agility in fast-paced iterations.

• Experience with modern BI tools such as Sigma, Hex, Tableau, Looker, or similar is a valuable asset, though not mandatory.

• Hands-on experience with coding agents like Claude Code or Codex is a significant advantage.

• Staff-level candidates should demonstrate deeper scope, ownership of larger or more complex problems end-to-end, and a history of establishing technical direction.

🏝️ Benefits

• Opportunity to work in a dynamic and fast-paced environment.

• Access to professional development and growth opportunities.

• Competitive compensation and benefits package.

• Collaborative and innovative team culture.