Description
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.
The Marketing Analytics Director will be the lead architect of Grafana Labs' data-driven growth engine, connecting high-level strategy with advanced technical execution.
Responsibilities:
- Strategic GTM Partnership: Serve as the primary strategic partner to the GTM Leadership team, translating complex data into a clear roadmap for demand generation and revenue growth.
- Dual-Track Target Setting: Architect and own a sophisticated forecasting framework that balances 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 to predict campaign impact and steer budget allocation toward the highest-ROI channels.
- Data Warehouse Architecture: Oversee the structure of marketing data within Google BigQuery, ensuring a scalable single source of truth that connects product usage data with marketing touchpoints.
- Causal Inference and Inflection Hunting: Perform causal inference and predictive trend analysis to isolate windows and dig in when the data shows an anomaly.
- Executive Storytelling: Transform technical data outputs into clear, compelling narratives for the executive team and board.
- Agentic Insights: Deploy LLM-powered agents to monitor BigQuery datasets and automatically flag quality shifts in the funnel before they impact revenue.
- Autonomous Workflows: Implement orchestration patterns to build self-healing data pipelines and automated responses to market signals.
- Predictive Quality Scoring: Build and deploy AI-driven scoring models that separate high-value potential users from low-signal volume.
Requirements:
- 8+ years in Marketing Analytics, GTM Strategy, or Data Science, with at least 2 years in a lead architect capacity.
- Demonstrated history as a force multiplier, with experience building tooling, rituals, evaluator systems, or frameworks that made other analysts or the broader org measurably better.
- Mastery of SQL and Python, with deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses.
- Hands-on AI fluency as a builder, with experience building and shipping agentic systems with Claude Code, MCP, or comparable tools.
- Automation proficiency, with hands-on experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling.
- Advanced proficiency in modern data stack visualization tools, such as Grafana, Looker, or Tableau.
Benefits:
- 100% Remote, Global Culture
- Scaling Organization
- Transparent Communication
- Innovation-Driven
- Open Source Roots
- Empowered Teams
- Career Growth Pathways
- Approachable Leadership
- Passionate People
- In-Person onboarding
- Balance is Key, with a global annual leave policy of 30 days per annum