GTM Data Analytics Lead

DataAnalystJobs; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Deepgram is seeking a Marketing & GTM Data Analyst to build analytics that power campaigns and revenue decisions. You will design dashboards, automate weekly reports, and partner with marketing, product, SDR, AE, and RevOps to turn data into action.

You should bring 3–5 years in marketing analytics for B2B SaaS, experience with Dreamdata or similar attribution tools, and strong SQL skills. This is a hands-on role in an AI-driven environment that moves quickly.

Qualifications

• Turns vague data questions into clear, answerable requests for marketing analytics.
• Understands B2B funnel and motions across marketing/partner/SDR/AE.
• Writes SQL directly in a data warehouse and across Salesforce objects.
• Reconciles messy data across systems and fixes at the source.
• Owns or improves multi-touch attribution setups and CRM reconciliation.
• Evaluates or tunes lead, PQL, or account scoring models for conversion lift.
• Builds AI-native analytics workflows and dashboards for leadership narratives.

Responsibilities

• Automate recurring GTM analytics and design AI agents for weekly reporting.
• Own KPI definitions and weekly leadership narratives with clear changes.
• Measure campaigns and sales plays from first touch to closed won using cohort analysis.
• Create reusable reporting templates with defined attribution rules for AI generation.
• Evolve Dreamdata attribution, reconcile with Salesforce/HubSpot, inform budget decisions.
• Monitor and improve scoring models and measure impact on conversion.
• Define GTM data sources with Data Engineering and Decision Intelligence.

Skills

SQL querying

B2B funnel knowledge

Data reconciliation

Attribution modeling

AI-native analytics

Dashboard building

KPI ownership

Tools

Dreamdata

HockeyStack

Bizible

HubSpot

Salesforce reporting

dbt

Job description

Deepgram is seeking a Marketing & GTM Data Analyst to build analytics that power campaigns and revenue decisions. You will design dashboards, automate weekly reports, and partner with marketing, product, SDR, AE, and RevOps to turn data into action.

You should bring 3–5 years in marketing analytics for B2B SaaS, experience with Dreamdata or similar attribution tools, and strong SQL skills. This is a hands-on role in an AI-driven environment that moves quickly.