Marketing Data Analyst

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $115k - $148k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Marketing Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Deepgram

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $47M Series B on 2022-11

Consulting • Healthcare • Logistics

Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.

📋 Description

• 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