Responsibilities

• Drive attribution modeling and full-funnel measurement across all marketing channels
• Translate data into actionable insights and recommendations for marketing leaders across the business
• Create forecasts and scenario models to inform annual budget planning and incremental asks
• Build and maintain self-service dashboards in Tableau for brand, demand gen, digital, and strategic events
• Partner cross-functionally with Field Analytics, Strategy & Planning, Marketing Leadership, and Data teams on performance narrative and QBRs
• Partner with the Marketing Data Operations team to maintain data quality across martech systems
• Implement AI/ML capabilities for predictive modeling and automated insights
• Design and support marketing experiments with rigorous testing and statistical validation
• Mentor and provide analytical guidance to junior analysts, and establish best practices for the broader analytics function
• Stay current with analytics tools and methods to drive competitive advantage

Requirements

• 8+ years in Marketing, Analytics, Operations, or BI in B2B SaaS
• 4+ years in marketing analytics: campaign performance, demand gen, field marketing, and ABM measurement
• 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
• Proven ability to influence and guide the work of others without formal management authority

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)