Senior Manager, Marketing Analytics

Ripple Ripple · Fintech · New York, NY +1 · Marketing

This role focuses on marketing analytics, using AI-powered tools to improve measurement, insights, and decision-making for growth marketing functions. The primary goal is to drive measurable impact on pipeline and revenue by evolving attribution modeling and performance measurement frameworks.

What you'd actually do

  1. Own analytics and end-to-end measurement across all growth marketing functions, ensuring consistent and actionable reporting from spend to revenue.
  2. Lead the visualization and reporting infrastructure across growth marketing, translating complex data into clear, compelling dashboards and narratives for stakeholders at all levels.
  3. Lead pipeline attribution, ROI, CAC, LTV, and Ad spend distribution analyses to inform investment decisions, and partner with Growth Marketing, Finance, and RevOps on spend pacing and forecasting.
  4. Evolve attribution modeling and performance measurement frameworks, using AI and machine learning to improve accuracy and scalability.
  5. Apply AI-powered tools and predictive modeling to surface proactive insights, identify trends, and support faster, more confident decision-making across the marketing team.

Skills

Required

  • 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
  • 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

Nice to have

  • experience with Python or R is a plus

What the JD emphasized

  • AI-powered tools
  • AI and machine learning