Marketing Analytics Director

Details

Grafana Labs is seeking a builder-practitioner to lead the evolution of its marketing data stack and increase analytical rigor across the marketing organization. The role sits at the intersection of Data Science, Marketing Strategy, go-to-market (GTM), and AI Operations. The successful candidate will build systems that improve analyst productivity, establish a unified source of truth, and support demand generation across the marketing funnel.

The role involves architecting a data-driven growth engine using Google BigQuery, Grafana, agentic AI, predictive modeling, and business intelligence frameworks. The Marketing Analytics Director will connect product usage data with marketing touchpoints, optimize GTM resources toward high-converting user cohorts, and translate complex data into executive-level recommendations.

Responsibilities

• Partner with GTM leadership, including Demand Generation, Regional and Events, Marketing Operations, the CMO, Revenue Operations, and Sales leadership, to translate data into a roadmap for demand generation and revenue growth.
• Design 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 (MMM), and lifetime value (LTV) 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.
• Conduct causal inference and predictive trend analysis to investigate anomalies, regional changes, campaign performance, and other market signals.
• Transform technical data outputs into clear narratives for executive and board audiences.

AI And Automation

• Deploy LLM-powered agents using Claude Code, MCP-based tooling, or comparable technologies to monitor BigQuery datasets and identify funnel-quality changes.
• Implement orchestration patterns using N8N, custom MCP servers, or equivalent tools to create self-healing data pipelines and automated responses to market signals.
• Build and deploy AI-driven 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 frameworks that measurably improve analyst or organizational performance.
• 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 around them.
• Experience building evaluator agents, prompt-grading systems, or analytical quality tooling in production.
• Hands-on experience building complex logic and integrations with N8N, custom API orchestration, or MCP-based tooling.
• Advanced proficiency with visualization and BI tools such as Grafana, Looker, or Tableau.
• Ability to create structure in ambiguous environments and build target-setting frameworks from scratch.
• Deep familiarity with integrations between Salesforce, marketing automation, and product-led data streams.
• Executive presence and experience presenting to executive and board audiences.
• Bachelor's or master's degree in a quantitative field such as Data Science, Computer Science, Statistics, or Business Analytics is a bonus. An MBA or MS in Data Science is a significant plus.

Compensation

The US OTE compensation range is $178,503–$214,203. Actual compensation may vary based on level, experience, and skillset. The role includes Restricted Stock Units (RSUs).

Benefits And Culture

• 100% remote, global culture.
• Scaling organization with meaningful work in a high-growth environment.
• Transparent communication and open decision-making.
• Innovation-driven culture with autonomy and support.
• Open-source roots and community-driven values.
• Empowered teams focused on outcomes.
• Career growth pathways.
• Approachable and transparent leadership.
• In-person onboarding.
• Global annual leave policy of 30 days per year, including 3 Grafana Shutdown Days, subject to local legislation.

Grafana Labs is an equal opportunities employer. The company may use AI tools in its recruitment process to assist with matching CV information to job postings, while recruitment staff continue to manually review applications.