Marketing Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop the reporting and analytics function for Marketing Operations.

• Take ownership of understanding what strategies are effective and where future investments should be directed.

• Collaborate with the Director of Marketing Operations to produce the weekly GTM report for leadership.

• Work alongside the Decision Intelligence and Data Engineering teams on AI analytics agents and the foundational data for GTM.

• Streamline recurring GTM analytics, which includes weekly reports, campaign evaluations, sales-play summaries, scoring-model validations, and anomaly alerts.

• Design and enhance AI agents, create evaluation cases, and ensure the quality of their outputs.

• Manage the definitions of Marketing and GTM KPIs, their calculation logic, and weekly reporting for leadership.

• Assess marketing campaigns and SDR/AE sales plays from initial contact to closed-won using pre/post and cohort analysis.

• Develop reusable reporting templates for campaigns and sales plays with standardized definitions, timeframes, and attribution rules.

• Oversee Dreamdata and advance practices for multi-touch, sourcing, SDR credit, and partner attribution.

• Align attribution data with Salesforce and HubSpot, transforming insights into budget recommendations.

• Analyze and enhance MQL, PQL, and account-intent scoring models.

• Define and report on partner and business development performance.

• Establish GTM source-of-truth datasets, provide semantic context for AI analytics agents, and advocate for upstream data quality improvements.

⛳️ Requirements

• Capability to translate ambiguous or complex GTM inquiries into clear, actionable questions.

• Comprehensive understanding of the B2B funnel, including MQL, SAL, SQL, and Closed Won stages.

• Proficient SQL skills within a data warehouse and across Salesforce objects.

• Experience in reconciling disorganized data across various systems and addressing data quality issues at their origin.

• Background in managing or enhancing a multi-touch attribution framework and aligning it with CRM data.

• Experience in assessing or refining lead, PQL, or account scoring models and measuring their conversion impact.

• Familiarity with AI-driven experiences, including the development of AI agents or analytics workflows, such as Claude Code, MCP servers, or n8n.

• Proficient in building dashboards and regular reports using a BI tool.

• Experience in defining KPIs.

• Typically around 3–5 years in marketing analytics, GTM or revenue analytics, or a similar analytical position within a B2B SaaS company, or equivalent demonstrated experience (preferred, but not mandatory).

• Hands-on experience with attribution tools such as Dreamdata, HockeyStack, Bizible, alongside HubSpot and Salesforce reporting (preferred).

• Knowledge of Python and familiarity with dbt, semantic layers, or metric stores (preferred).

• Experience with intent data or partner attribution (preferred).

• Background in a usage-based, developer-centric, or product-led business (preferred).

🏝️ Benefits

• Equity.

• Bonus.

• Integration of AI tools and experimentation into daily tasks.

• Opportunity to collaborate with Decision Intelligence and Data Engineering teams.

• Professional development through ongoing learning and experimentation.