Marketing Analytics Director
G
Grafana LabsSaaS analytics
United States | RemoteFull-TimeDirector
SalaryIn the US, the OTE compensation range for this role is $178,503 - $214,203. All of our roles include Restricted Stock Units (RSUs)
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Job Details
- Experience
- 8+ years in Marketing Analytics, GTM Strategy, or Data Science, with at least 2 years in a lead architect capacity
- Required Skills
- PythonSQLSnowflakeTableauGrafanaLooker
Requirements
- Bring 8+ years of experience in Marketing Analytics, GTM Strategy, or Data Science.
- Have at least 2 years in a lead architect capacity, on an IC or player-coach track, in a high-growth SaaS or PLG environment.
- Demonstrate that you have built tools, rituals, evaluator systems, or frameworks that measurably improved analyst or organizational performance.
- Have mastery of SQL and Python.
- Have deep experience architecting data environments in Google BigQuery, Snowflake, or similar data warehouses.
- Have hands-on experience building and shipping agentic systems with Claude Code, MCP, or comparable tools.
- Understand LLM limitations and have built evaluator agents, prompt-grading systems, or analytical quality tooling in production.
- Have hands-on experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling.
- Have advanced proficiency with Grafana, Looker, Tableau, or other modern data-stack visualization tools.
- Be able to create structure in ambiguous environments and build target-setting frameworks from scratch.
- Have deep familiarity with connectivity between Salesforce, marketing automation, and product-led data streams.
- Have experience presenting to executive and board audiences and exercising judgment about which data is ready to share.
- A bachelor's or master's degree in a quantitative field is a bonus.
Responsibilities
- Partner with GTM leadership to translate complex data into a roadmap for demand generation and revenue growth.
- Own a forecasting framework that balances top-of-funnel volume with high-intent lead quality.
- Develop and maintain attribution, marketing mix modeling (MMM), and lifetime value (LTV) models to predict campaign impact and guide budget allocation.
- Oversee marketing data architecture in Google BigQuery and connect product usage data with marketing touchpoints.
- Perform causal inference and predictive trend analysis, investigating anomalies and campaign performance.
- Present technical findings as clear narratives for executive and board audiences.
- Deploy LLM-powered agents to monitor BigQuery datasets and flag funnel-quality shifts.
- Build automated workflows and data pipelines using orchestration patterns such as N8N or custom MCP servers.
- Develop AI-driven scoring models to identify high-value potential users.
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