GTM Analyst

Accountabilities:

• Build and maintain dashboards and reports that provide Sales and Marketing with a shared, accurate view of funnel performance.

• Own the day-to-day maintenance and evolution of GTM reporting as source data, targets, campaigns, and go-to-market motions change.

• Measure the impact of campaigns, experiments, and GTM initiatives and provide insights that support investment and prioritization decisions.

• Investigate changes in win rates, pipeline velocity, campaign performance, conversion, and other funnel metrics by turning open-ended questions into testable hypotheses.

• Integrate data from CRM and marketing systems to support cross-functional analyses and deliver actionable recommendations rather than reporting alone.

• Audit CRM fields, lead-routing rules, and scoring logic to identify data-quality issues, drift, or unintended behavior and address root causes.

• Monitor adoption of GTM processes and tools, including outbound cadences, routing rules, scoring models, and other operational workflows.

• Maintain the accuracy of lead-scoring and attribution models by monitoring performance and identifying when retuning is required.

• Serve as a reliable resource for Sales, Marketing, and RevOps teams, answering day-to-day questions about funnel data and escalating more complex analytical questions when appropriate.

• Communicate data findings clearly through concise reporting, written analysis, and discussions accessible to non-technical stakeholders.

Requirements:

• 1-3 years of experience in GTM analytics, marketing analytics, sales analytics, business intelligence, or a similar role, with a strong focus on funnel reporting and analysis.

• Demonstrated ability to build and maintain dashboards; experience with Lightdash and Omni is relevant.

• Strong SQL skills and familiarity with modern analytics environments such as dbt and BigQuery.

• Hands-on experience working with CRM and marketing platforms such as Salesforce, HubSpot, and Google Analytics.

• Experience monitoring and maintaining scoring or attribution models, including identifying data drift and determining when models require adjustment.

• Understanding of both B2B and B2C funnels and key metrics such as MQL-to-SQL conversion, win rate, pipeline velocity, and funnel leakage.

• Ability to turn ambiguous business questions into structured hypotheses, analyze the underlying data, and provide clear recommendations.

• Comfortable using AI tools to accelerate analytical and operational work while critically reviewing outputs for accuracy and quality.

• Strong communication and collaboration skills, with the ability to explain analytical findings to non-analytical stakeholders.

• Highly organized, self-directed, and comfortable taking ownership across a broad range of responsibilities.

• Eager to build technical depth and progress toward a Senior Data Analyst career path.

• Comfortable working remotely within a small, fast-moving team with a broad scope of responsibilities.

• Experience in the creator economy, video, membership, or community software is a plus.

• Experience with Salesforce and HubSpot alongside a data warehouse, dbt semantic layers, analytics engineering, outbound sales tooling such as Salesloft or Outreach, or end-to-end lead-scoring models is desirable.

Benefits:

• Flexible paid time off plus 8 paid company holidays.

• Health, dental, and vision benefits for U.S.-based employees, with cost sharing.

• 401(k) plan with company match for U.S.-based employees.

• Flexible parental leave.

• Remote-first working environment.

• Technology stipend.

• Coworking space stipend.

• Professional development stipend.

• Opportunity to work in an AI-native analytics environment.

• Hands-on ownership of GTM reporting, data quality, and business insights.

• Opportunity to develop technical expertise and grow toward a Senior Data Analyst role.

• Benefits and eligibility may vary depending on location and applicable local regulations.

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