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)

Benefits

• equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies.