115K–148K USD / year
Marketing & GTM Data Analyst
MarketingRemote — United States
Published on 2026-10-24
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About this role
Build Deepgram’s marketing and go-to-market analytics function, defining reliable KPIs and reporting for leadership. Analyze campaigns, sales plays, attribution, and scoring models, and help automate recurring insights using AI analytics agents.
About the company
Deepgram builds speech-to-text and voice AI APIs that convert audio into text and power voice applications for developers and enterprises.
The team
Marketing Operations, partnering with Decision Intelligence and Data Engineering.
Stack
SQLSalesforceHubSpotDreamdataClaude CodeMCP serversn8nPython
What you'll do
- Own marketing and GTM KPI definitions and the weekly leadership report.
- Measure campaigns and sales plays through closed-won using cohort and pre/post analysis.
- Manage multi-touch attribution and reconcile it with Salesforce and HubSpot.
- Evaluate lead, PQL, and account scoring models and monitor their performance.
- Build reusable reporting templates and automate recurring analysis with AI agents.
- Define partner and business development performance reporting.
- Work with data teams to establish source-of-truth datasets and improve data quality.
What we're looking for
- Strong SQL skills, including querying Salesforce objects and warehouse data.
- Understanding of B2B funnels and marketing, product-led, partner, SDR, and AE motions.
- Experience owning or improving multi-touch attribution and reconciling it with CRM data.
- Experience evaluating or tuning lead, PQL, or account scoring models.
- Ability to turn ambiguous business questions into clear analyses and explain results.
- Experience building dashboards and recurring reports with clear leadership narratives.
- AI-native approach, including building agentic analytics workflows and evaluating their output.
- Strong data-quality judgment and ownership of consistent KPI definitions.
Nice to have
- Approximately 3–5 years in marketing, GTM, or revenue analytics at a B2B SaaS company.
- Experience with Dreamdata, HockeyStack, Bizible, HubSpot, and Salesforce reporting.
- Python, dbt, semantic layers, or metric stores.
- Experience with intent data, partner attribution, or a usage-based, developer-focused, or product-led business.
Benefits
- Equity
- Bonus