Marketing Analytics Director

Details

Grafana Labs is seeking a Marketing Analytics Director to lead the evolution of its marketing data stack and raise the analytical rigor of the entire marketing organization. This is a technical, builder-practitioner role at the intersection of Data Science, Marketing Strategy, GTM, and AI Operations—where you will build systems that make every analyst (and even the AI agents themselves) sharper, not just report on the funnel.

Responsibilities

• Strategic GTM Partnership: Serve as the primary strategic partner to GTM Leadership, translating complex data into a roadmap for demand generation and revenue growth.
• Dual-Track Target Setting: Architect and own a forecasting framework balancing top-of-funnel volume with high-intent lead quality (optimized for Grafana Cloud conversion and retention).
• Predictive Modeling and ROI: Develop and maintain machine learning models for Attribution, MMM, and LTV to predict campaign impact and guide budget allocation.
• Data Warehouse Architecture: Oversee marketing data structure in Google BigQuery, ensuring a scalable single source of truth connecting product usage data with marketing touchpoints.
• Causal Inference and Inflection Hunting: Perform causal inference and predictive trend analysis; investigate anomalies such as spikes, regional dips, or overperforming campaigns.
• Executive Storytelling: Translate technical outputs into clear narratives for executives and the board.

Utilizing AI and Automation

• Agentic Insights: Deploy LLM-powered agents (Claude Code, MCP-based tooling, or comparable) to monitor BigQuery datasets and flag quality shifts in the funnel before they impact revenue.
• Autonomous Workflows: Implement orchestration patterns (N8N, custom MCP servers, or equivalent) to build self-healing data pipelines and automated responses to market signals (e.g., automated spend shifts based on conversion anomalies).
• Predictive Quality Scoring: Build and deploy AI-driven scoring models to separate high-value users from low-signal volume for Sales and Marketing prioritization.

Requirements

• 8+ years in Marketing Analytics, GTM Strategy, or Data Science, with at least 2 years in a lead architect capacity (IC track or player-coach; people management not required) in a high-growth SaaS or PLG environment.
• Demonstrated history as a force multiplier with specific tooling, rituals, evaluator systems, or frameworks you built that measurably improved others.
• SQL and Python required.
• Deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses.
• Hands-on AI fluency as a builder: shipped agentic systems with Claude Code, MCP, or comparable tools; understanding of LLM failure modes; built evaluator agents, prompt-grading systems, or analytical quality tooling in production.
• Automation proficiency building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling.
• Advanced visualization/BI proficiency with modern data stack tools: Grafana, Looker, Tableau.
• Ability to create structure in ambiguity and build target-setting frameworks from scratch.
• Deep familiarity with connectivity between Salesforce, marketing automation, and product-led data streams.
• Executive presence presenting to executive and board audiences, with sound judgment about data readiness.

Benefits

• 100% Remote, Global Culture.
• In-Person onboarding.
• Global annual leave policy of 30 days per annum, with 3 days reserved for Grafana Shutdown Days.
• Restricted Stock Units (RSUs) included in all roles.