GTM Analytics Lead: Turn Data into Action (Remote)

Real Work From Anywhere; United States; Remote; USD 85,000 - 110,000; Full time

Job summary

Uscreen is looking for a GTM Analyst to turn funnel data into trusted, actionable insights for Sales and Marketing. You’ll own the reporting layer for the funnel, ensure data quality, and partner with Analytics and RevOps to drive decisions in an AI-enabled environment.

You will build dashboards, measure campaign impact, and translate data into clear recommendations, enabling cross-functional teams across a remote-first, fast-moving team.

Qualifications

• 1–3 years in a GTM analytics role with funnel focus.
• Experience building and maintaining dashboards in analytics stacks.
• Proficiency with SQL, dbt, and BigQuery.
• Experience reporting on Salesforce, HubSpot, and GA.
• Ability to own lead scoring or attribution models day to day.
• Knowledge of both B2B and B2C funnels.
• Proactive hypothesis testing and data-driven recommendations.
• Willingness to work in a remote-first, fast-moving team.

Responsibilities

• Build and maintain GTM dashboards and reports.
• Own day-to-day GTM reporting as data changes.
• Measure campaign and initiative impact.
• Investigate the why behind numbers and propose tests.
• Integrate CRM and marketing data into analyses.
• Audit data quality and lead-routing rules.
• Monitor adoption of new GTM tools and motions.
• Translate GTM data into insights for teams.
• Answer everyday funnel data questions quickly.

Skills

GTM analytics

Dashboard building

SQL querying

CRM analytics

B2B funnels

AI tooling

Data storytelling

Tools

Lightdash

Omni

dbt

BigQuery

Salesforce

HubSpot

Google Analytics

Job description

Uscreen is looking for a GTM Analyst to turn funnel data into trusted, actionable insights for Sales and Marketing. You’ll own the reporting layer for the funnel, ensure data quality, and partner with Analytics and RevOps to drive decisions in an AI-enabled environment.

You will build dashboards, measure campaign impact, and translate data into clear recommendations, enabling cross-functional teams across a remote-first, fast-moving team.