Marketing Analytics Director

Details

Grafana Labs is seeking a Marketing Analytics Director to lead the evolution of its marketing data stack and raise analytical rigor across the marketing organization. This builder-practitioner role operates at the intersection of Data Science, Marketing Strategy, Go-to-Market, and AI Operations.

The role will architect a data-driven growth engine using Google BigQuery, Grafana, agentic AI, predictive modeling, and business intelligence frameworks. The successful candidate will build systems that support demand generation across the marketing funnel, improve analytical quality, and guide global GTM strategy.

Responsibilities

• Partner strategically with GTM leadership, including Demand Generation, Regional and Events, Marketing Operations, the CMO, Revenue Operations, and Sales leadership.
• Architect and own a dual-track forecasting and target-setting framework balancing top-of-funnel volume with high-intent lead quality, Grafana Cloud conversion, and retention.
• Develop and maintain machine learning models for attribution, marketing mix modeling, and lifetime value to predict campaign impact and guide budget allocation.
• Oversee marketing data architecture in Google BigQuery and create a scalable single source of truth connecting product usage data with marketing touchpoints.
• Perform causal inference and predictive trend analysis to investigate anomalies, regional changes, campaign performance, and other market signals.
• Translate technical data outputs into clear narratives for executive and board audiences.
• Deploy LLM-powered agents using Claude Code, MCP-based tooling, or comparable technologies to monitor BigQuery datasets and flag funnel-quality changes.
• Build autonomous workflows using N8N, custom MCP servers, or equivalent orchestration tools to support self-healing data pipelines and automated responses to market signals.
• Develop AI-driven quality-scoring models that distinguish high-value potential users from low-signal volume.

Requirements

• 8+ years of experience in Marketing Analytics, GTM Strategy, or Data Science.
• At least 2 years in a lead architect capacity within a high-growth SaaS or product-led growth environment; people management is not required.
• Demonstrated experience building tooling, operating rituals, evaluator systems, or analytical frameworks that improve the effectiveness of analysts or broader organizations.
• Mastery of SQL and Python.
• Deep experience architecting data environments in Google BigQuery, Snowflake, or similar data warehouses.
• Hands-on experience building and shipping agentic systems with Claude Code, MCP, or comparable tools.
• Understanding of LLM limitations and experience designing evaluator agents, prompt-grading systems, or analytical quality tooling in production.
• Experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling.
• Advanced proficiency with modern data visualization and business intelligence tools such as Grafana, Looker, or Tableau.
• Ability to create structure in ambiguous environments and build target-setting frameworks from scratch.
• Deep familiarity with Salesforce, marketing automation, and product-led data streams.
• Executive presence and experience presenting to executive and board audiences.

Bonus Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Business Analytics, or another quantitative field.
• MBA or Master's degree in Data Science.

Compensation

The OTE compensation range in Canada is CAD 180,939–217,128. Actual compensation may vary based on level, experience, and skillset. The role includes Restricted Stock Units (RSUs).

Benefits and Culture

• 100% remote global culture.
• High-growth and innovation-driven environment.
• Transparent communication and decision-making.
• Open-source roots and empowered teams.
• Career growth pathways.
• In-person onboarding.
• Global annual leave policy of 30 days per year, including 3 Grafana Shutdown Days, subject to local legislation.