Marketing Data Analyst
Posted 21hrs ago
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Job Description
Marketing & GTM Data Analyst building reporting, attribution, and AI analytics for Deepgram’s Voice AI platform. Powering GTM investment decisions across marketing, sales, partnerships, and RevOps.
Responsibilities:
- Build the reporting and analytics function for Marketing Operations
- Own the answer to what is working and where to invest next
- Partner with the Director of Marketing Operations on the weekly GTM report for leadership
- Partner with Decision Intelligence and Data Engineering teams on AI analytics agents and the GTM data foundation
- Automate recurring GTM analytics, including weekly reporting, campaign and sales-play readouts, scoring-model checks, and anomaly alerts
- Design and improve AI agents, write evaluation cases, and quality-assure their output
- Own Marketing and GTM KPI definitions, calculation logic, and weekly leadership reporting
- Measure marketing campaigns and SDR/AE sales plays from first touch through closed-won using pre/post and cohort analysis
- Create reusable campaign and sales-play reporting templates with consistent definitions, time windows, and attribution rules
- Own Dreamdata and evolve multi-touch, sourcing, SDR-credit, and partner-attribution practices
- Reconcile attribution with Salesforce and HubSpot and turn results into budget recommendations
- Evaluate and improve MQL, PQL, and account-intent scoring models
- Define and report partner and business-development performance
- Define GTM source-of-truth datasets, provide semantic context for AI analytics agents, and drive upstream data-quality fixes
Requirements:
- Ability to turn vague or complex GTM questions into clear, answerable questions
- Understanding of the B2B funnel, including MQL, SAL, SQL, and Closed Won
- Strong SQL skills in a data warehouse and across Salesforce objects
- Experience reconciling messy data across systems and fixing data-quality issues at the source
- Experience owning or improving a multi-touch attribution setup and reconciling it with CRM data
- Experience evaluating or tuning lead, PQL, or account scoring models and measuring conversion impact
- AI-native experience building AI agents or agentic analytics workflows, such as Claude Code, MCP servers, or n8n
- Experience building dashboards and recurring reports in a BI tool
- Experience owning KPI definitions
- Typically ~3–5 years in marketing analytics, GTM or revenue analytics, or a similar analytical role at a B2B SaaS company, or equivalent demonstrated experience (preferred, not required)
- Hands-on experience with Dreamdata, HockeyStack, Bizible, or similar attribution tools, plus HubSpot and Salesforce reporting (preferred)
- Python and experience with dbt, semantic layers, or metric stores (preferred)
- Experience with intent data or partner attribution (preferred)
- Experience at a usage-based, developer-focused, or product-led business (preferred)
Benefits:
- Equity
- Bonus
- AI tools and experimentation integrated into everyday work
- Opportunity to work with Decision Intelligence and Data Engineering teams
- Professional growth through continuous learning and experimentation









