Director, Marketing Analytics

San Francisco, CA (Hybrid)

$214K/yr – $330K/yrDirector/Executive12+ years expFull time

Posted 3 days ago

Top 1% of applicants do these two things.

The other 99% submit and hope. You're about to do something different.

Job Summary

Own and scale analytics function for marketing performance, shaping attribution, forecasting, and data-driven decisions across paid and organic channels.

Build self-serve dashboards and actionable insights for marketing leaders
Grow and guide the analytics team while partnering across Sales, Marketing, and Data
Deploy AI/ML for predictive insights and rigorous experimentation

Job Description

Responsibilities

Lead and develop a team of analysts; establish best practices and build team capability
Own attribution modeling and full-funnel measurement across all marketing channels
Take the insights and translate data into actionable insights for marketing leaders across the business.
Drive paid and organic digital acquisition strategy through CAC, ROAS, and LTV analysis
Build and maintain self-service dashboards in Tableau for demand gen, digital, field, events, and field marketing teams
Implement AI/ML capabilities for predictive modeling and automated insights
Support marketing experiments with rigorous testing and statistical validation
Create forecasts and scenario models to inform annual budget planning
Partner cross-functionally with Sales, Marketing Leadership, and Data teams on strategy and QBRs
Partner with Marketing Data Operations team to maintain data quality across martech systems

Requirements

12+ years in Marketing, Analytics, Operations, or BI in B2B SaaS
5+ years managing and developing analytics teams; strong leadership skills
5+ years in digital/paid media analytics: channel optimization, attribution, budget allocation (SEM, display, social, video)
Track record of using data to drive business strategy and budget decisions
Experience across enterprise sales, product-led growth, and partner marketing models
Deep expertise in marketing attribution modeling and multi-touch measurement
Data storytelling: communicate complex insights to executives and influence decisions
Strong grasp of martech infrastructure: database management, data hygiene, API integrations (ad platforms, CRM, analytics tools, data warehouse)
Expert-level Tableau, Salesforce, Snowflake, Excel
Statistical analysis, A/B testing, and experimental design

Preferred

AI/ML experience: predictive modeling, propensity scoring, marketing mix modeling
Google Analytics (GA4) or Adobe Analytics expertise
SQL proficiency
Growth marketing or demand gen background
Privacy-first measurement, DSPs, programmatic advertising experience
Python, R, or similar statistical tools
Advanced degree (MBA, Analytics, Economics, or related field)