Senior Manager, Marketing Analytics

Hidden Road; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Equity

Learning budget

In-office collaboration

Bi-weekly all-company meeting

Catered lunches

Wellness programs

Job summary

Ripple is seeking a Senior Marketing Analytics Manager to lead end-to-end measurement across growth marketing and own a data-driven analytics stack in London. You will build dashboards, drive attribution, and optimize spend and pipeline with AI-powered insights.

Collaborating with Growth Marketing, Finance, RevOps, and BI, you’ll ensure data quality and actionable insights while advancing forecasting and budget analysis in a fast-paced environment.

Qualifications

• 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.

Responsibilities

• Own analytics and end-to-end measurement across growth marketing functions.
• Lead visualization and reporting infrastructure with dashboards and narratives.
• Lead pipeline attribution, ROI, CAC, LTV analyses to inform investment decisions.
• Develop attribution models and performance frameworks using AI/machine learning.
• Apply AI-powered tools to surface proactive insights and accelerate decision-making.
• Support experimentation programs with data-driven insights and lift analyses.
• Collaborate with RevOps, BI, and Marketing Ops to connect spend to pipeline and revenue.
• Identify opportunities to automate reporting and analytics workflows.

Skills

Marketing analytics

Data visualization

Cross-functional collaboration

Communication

Tools

Salesforce CRM

Tableau

Looker

SQL

Python

R

A/B testing

Forecasting

Budget analysis

Job description

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.

If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.

THE WORK:

We are growing, and so is the breadth and depth of our marketing programs, with AI at the core of how we scale. We are looking for a highly motivated, diligent, and data-driven Senior Marketing Analytics Manager to join our Marketing Operations team. Reporting into the Director, Marketing Operations and Demand Generation, this role will serve as the analytical backbone of our growth marketing engine — leading the measurement, visualization, and insights infrastructure that drives smarter investment decisions and executive-level confidence in our marketing performance.

In this role, you will own analytics and reporting across all growth marketing functions, from campaign performance to pipeline attribution. You'll partner 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 our marketing measurement at scale.

You’ll use data to continuously improve reporting efficiency, forecast accuracy, and budget allocation decisions, helping ensure our marketing analytics engine drives measurable impact on pipeline and revenue.

WHAT YOU’LL DO:

• Own analytics and end-to-end measurement across all growth marketing functions, ensuring consistent and actionable reporting from spend to revenue.
• Lead the visualization and reporting infrastructure across growth marketing, translating complex data into clear, compelling dashboards and narratives for stakeholders at all levels.
• 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.
• Evolve attribution modeling and performance measurement frameworks, using AI and machine learning to improve accuracy and scalability.
• Apply AI-powered tools and predictive modeling to surface proactive insights, identify trends, and support faster, more confident decision-making across the marketing team.
• Empower experimentation programs with thorough data-driven insights, including A/B testing and lift analyses.
• Partner with the RevOps, Business Intelligence and Marketing Operations teams to use Salesforce, Tableau, MCI and other platforms, to build reporting that connect spend to pipeline and revenue.
• Identify opportunities to automate reporting and analytics workflows using AI to increase efficiency and reduce manual effort.
• Ensure data quality and integrity across CRM and marketing systems.

WHAT YOU'LL BRING:

• 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 — you're as comfortable in a strategy meeting as you are in a data model

WHO WE ARE:

Do Your Best Work

• The opportunity to build in a fast-paced start‑up environment with experienced industry leaders
• A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.
• Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
• In‑office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.
• Bi‑weekly all‑company meeting - business updates and ask me anything style discussion with our Leadership Team
• We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!

Take Control of Your Finances

• Competitive salary, bonuses, and equity
• Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
• Employee giving match
• Mobile phone stipend

Take Care of Yourself

• R&R days so you can rest and recharge
• Generous wellness reimbursement and weekly onsite & virtual programming
• Generous vacation policy - work with your manager to take time off when you need it
• Industry‑leading parental leave policies. Family planning benefits.
• Catered lunches, fully‑stocked kitchens with premium snacks/beverages, and plenty of fun events

Benefits listed above are for full‑time employees.

Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

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