GTM Insights & Analytics Lead
New
Flexible remote work across Canada and the U.S.Full-TimeLead
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLSalesforceTableauData modelingLooker
Requirements
- Proven experience in GTM analytics, revenue operations analytics, or business analytics within a B2B SaaS environment.
- Strong proficiency in SQL and Python for data analysis, modeling, and maintaining scalable analytical frameworks.
- Hands-on experience building dashboards in BI tools such as Tableau, Looker, Omni, or similar platforms.
- Deep familiarity with Salesforce data structures and core GTM objects (leads, accounts, opportunities, campaigns, etc.).
- Experience supporting financial planning processes such as forecasting, quota setting, and capacity modeling.
- Ability to synthesize data across Sales, Marketing, and Finance to identify cross-functional insights and opportunities.
- Strong communication skills with the ability to translate complex analysis into clear, decision-ready narratives.
- Experience with modern data stack tools (e.g., Snowflake, dbt, Fivetran, Marketo, Outreach) is a strong plus.
Responsibilities
- Build and maintain scalable BI dashboards that provide real-time visibility into pipeline health, funnel performance, segmentation, and revenue outcomes.
- Own the GTM data dictionary, ensuring consistent definitions, logic, and metrics across Sales, Marketing, and Finance.
- Lead analytical modeling for forecasting, including conversion rates, pipeline coverage, stage weighting, and forecast variance analysis.
- Support annual planning and revenue forecasting through quota modeling, capacity analysis, and segmentation insights.
- Develop scenario models for pricing, GTM strategy, and revenue structure decisions in partnership with leadership teams.
- Analyze campaign and channel performance to assess pipeline contribution and identify optimization opportunities.
- Partner with Analytics Engineering to ensure accurate data modeling across Salesforce, Marketo, and the modern data stack.
- Lead cross-functional ad hoc analyses including win/loss, cohort analysis, market sizing, and GTM performance deep dives.
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