Ripple

marketing analytics manager in crypto

In short

This senior role owns marketing analytics and growth measurement at a crypto/fintech company, building dashboards and attribution models that connect ad spend to pipeline and revenue. It requires 5+ years of marketing/growth analytics experience, hands-on Salesforce and SQL skills, and expertise in data visualization tools like Tableau or Looker plus AI-driven attribution and predictive modeling. The job is hybrid, based in London.

About Ripple
Ripple builds crypto solutions for financial institutions, businesses, governments, and developers to improve the global financial system and create greater economic fairness and opportunity.
Responsibilities
•Own analytics and end-to-end measurement across growth marketing functions, ensuring consistent, actionable reporting from spend to revenue
•Lead visualization and reporting infrastructure, translating complex data into clear dashboards and narratives for stakeholders
•Analyze pipeline attribution, ROI, CAC, LTV, and ad spend distribution; partner with Growth Marketing, Finance, and RevOps on spend pacing and forecasting
•Evolve attribution models and performance measurement frameworks using AI and machine learning
•Apply AI-powered tools and predictive modeling to surface insights, identify trends, and support decision-making
•Support experimentation programs with data-driven insights, including A/B testing and lift analyses
•Partner with RevOps, Business Intelligence, and Marketing Operations to build reporting that connects spend to pipeline and revenue using Salesforce, Tableau, MCI, and other platforms
•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 applied to marketing analytics, such as predictive modeling, anomaly detection, or automated insights
•Strong proficiency in data visualization tools such as Tableau, Looker, or similar
•Experience with attribution modeling, media mix modeling, and/or incrementality testing
•Proficiency in SQL
•Proven track record leading forecasting and budget analysis with Finance and Revenue Operations
•Excellent communication skills and ability to present complex data to technical and executive audiences
•Strong cross-functional collaboration skills
Nice to have
•Python or R experience
Benefits
•Competitive salary, bonuses, and equity
•Benefits covering physical and mental healthcare, retirement, family forming, and family support
•Employee giving match and mobile phone stipend
•R&R days, wellness reimbursement, weekly onsite and virtual programming, generous vacation policy, parental leave, and family planning benefits
•Catered lunches, stocked kitchens, and team events
•Professional development budget
•Managers and teams decide which 10+ days a month they come into the office
•Benefits listed above are for full-time employees
Format
Hybrid, London

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