Marketing Analytics Director
New
G
Grafana LabsSaaS marketing analytics
Location: United States (Remote)Full-TimeDirector
SalaryIn the US, the OTE compensation range for this role is $178,503 - $214,203.
Apply NowOpens the employer's application page
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, as an individual contributor or player-coach.
- Demonstrate that you have built tools, rituals, evaluator systems, or frameworks that measurably improved analyst or organizational effectiveness.
- 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 how to design around them; 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 visualization tools such as Grafana, Looker, or Tableau.
- Have proven ability to create structure in ambiguous environments and build target-setting frameworks from scratch.
- Have deep familiarity with Salesforce, marketing automation, and product-led data streams.
- Have experience presenting to executive and board audiences and judging what data is ready to share.
Responsibilities
- Partner with GTM leadership to translate complex data into a roadmap for demand generation and revenue growth.
- Architect and own a forecasting framework balancing top-of-funnel volume with high-intent lead quality.
- Develop and maintain attribution, marketing mix modeling, and lifetime value 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.
- Translate technical data outputs into clear narratives for executive and board audiences.
- Deploy LLM-powered agents to monitor BigQuery datasets and flag funnel quality shifts.
- Implement orchestration patterns and automated workflows for data pipelines and market signals.
- Build and deploy AI-driven scoring models to help Sales and Marketing prioritize high-value potential users.
View Full Description & ApplyYou'll be redirected to the employer's site
