Senior Manager, Marketing Analytics

You'll serve as the analytical backbone of Ripple's growth marketing engine, leading the measurement, visualization, and insights infrastructure that drives smarter investment decisions and executive-level confidence in marketing performance. You'll own analytics and reporting across all growth marketing functions, from campaign performance to pipeline attribution, partnering closely with Growth Marketing, Finance, RevOps, and other cross-functional teams to ensure data is accurate, accessible, and actionable across the full funnel. You'll also be a practitioner and champion of AI-powered tools, using them to automate workflows, accelerate insight generation, and elevate the sophistication of marketing measurement at scale. You'll use data to continuously improve reporting efficiency, forecast accuracy, and budget allocation decisions.

Responsibilities

• Own analytics and end-to-end measurement across all growth marketing functions
• Lead the visualization and reporting infrastructure across growth marketing
• Lead pipeline attribution, ROI, CAC, LTV, and ad spend distribution analyses
• Partner with Growth Marketing, Finance, and RevOps on spend pacing and forecasting
• Evolve attribution modeling and performance measurement frameworks using AI and machine learning
• Apply AI-powered tools and predictive modeling to surface proactive insights and identify trends
• Empower experimentation programs with data-driven insights, including A/B testing and lift analyses
• Partner with RevOps, Business Intelligence and Marketing Operations teams to build reporting connecting spend to pipeline and revenue
• Identify opportunities to automate reporting and analytics workflows using AI
• Ensure data quality and integrity across CRM and marketing systems

Requirements

• 5+ years of experience in marketing analytics, growth analytics, or a related field
• Deep expertise in growth marketing measurement methodologies across the funnel
• Hands-on experience with Salesforce CRM and marketing data pipelines
• Familiarity with AI and machine learning concepts as applied to marketing analytics, such as predictive modelling, anomaly detection, or automated insights
• Strong proficiency in data visualization tools (e.g., Tableau, Looker, or similar)
• Experience with attribution modeling, media mix modeling, and/or incrementality testing
• Proficiency in SQL; experience with Python or R is a plus
• Proven track record in leading forecasting and budget analysis in partnership with Finance and Revenue Operations
• Excellent communication skills with the ability to present complex data clearly to both technical and executive audiences
• Strong cross-functional collaboration skills

Benefits

• Professional development budget
• Flexible in-office days (managers and teams decide which 10+ days a month to come in)
• Bi-weekly all-company meeting with Leadership Team
• Team offsites, team bonding activities, happy hours
• Competitive bonuses and equity
• Health, retirement, family forming, and family support benefits
• Employee giving match
• Mobile phone stipend
• R&R days
• Wellness reimbursement and onsite & virtual programming
• Generous vacation policy
• Parental leave policies and family planning benefits
• Catered lunches and fully-stocked kitchens with premium snacks/beverages