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- Tasks: Lead marketing analytics strategy and build a high-performing team to drive customer growth.
- Company: Join a forward-thinking company focused on data-driven marketing solutions.
- Benefits: Competitive salary, leadership opportunities, and a chance to shape the future of marketing.
- Why this job: Make a real impact by leveraging AI and analytics to transform marketing strategies.
- Qualifications: Proven experience in analytics, data science, and marketing measurement required.
- Other info: Dynamic role with high visibility and excellent career advancement potential.
The predicted salary is between 72000 - 108000 £ per year.
We are seeking a Head of Marketing Intelligence to lead our marketing measurement and analytics strategy. This role is designed for a proven operator who combines deep analytics and data science expertise with hands‐on experience working closely with marketing teams to drive performance. You will be responsible for building scalable attribution frameworks, advancing predictive and probabilistic models, and deploying AI‐driven and automated solutions that unearth actionable insights to drive customer growth. This is a senior leadership role with high visibility and direct impact on company growth.
Leadership & Strategy
- Define and own the marketing intelligence roadmap
- Build and lead a high‐performing team of analysts, engineers, and data scientists
- Partner with Growth, Data, Finance and Product Marketing leadership to enable data‐driven decisions
Measurement & Modelling
- Lead the design and deployment of multi-touch attribution (MTA) and probabilistic attribution approaches
- Champion marketing mix modelling (MMM) to measure cross‐channel ROI and incrementality
- Advance predictive analytics for LTV, churn, and customer journey optimisation, leveraging AI‐powered models for greater accuracy
AI, GenAI & Automation
- Deploy AI and machine learning models for anomaly detection, predictive spend optimization, and customer segmentation
Generative AI Solutions
- Automated campaign insights ("explain spend efficiency by channel in natural language")
- Dynamic customer journey clustering to identify emerging cohorts
- Generating personalized marketing narratives and creative testing at scale
- Build a culture of automation where insights flow seamlessly into marketing strategy and execution
Data Infrastructure & Governance
- Oversee marketing data pipelines and modelling powered by AppsFlyer, Databricks, Google Marketing Platform, and Google BigQuery
- Ensure strong data governance, quality, and compliance with GDPR, CCPA, ATT, and other privacy regulations
Reporting & Insights
- Develop and maintain high‐impact dashboards in Tableau
- Deliver regular insights that guide marketing investment and strategy, supported by automated reporting and GenAI‐driven summaries for executives
- Act as the bridge between advanced AI/ML outputs and marketing strategy, ensuring models directly influence spend and creativity
Requirements
- Proven operational track record in analytics and data science, with extensive experience in marketing measurement
- Expertise in Attribution modelling (deterministic, probabilistic, MTA)
- Marketing mix modelling (MMM)
- AI / ML applications in marketing analytics
- Generative AI solutions for insights automation and customer growth strategies
- AppsFlyer, Databricks, Google Marketing Platform, AWS & Google BigQuery
- SQL and Tableau
- Strong background in data governance, compliance, and privacy frameworks
- Excellent communicator able to simplify complex concepts
Head of Growth Analytics in London employer: Crypto.com
Contact Detail:
Crypto.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Growth Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A personal connection can often get you noticed faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies that highlight your achievements in analytics and marketing. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to growth analytics and AI applications. We want you to feel confident and ready to showcase your expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Head of Growth Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Head of Growth Analytics. Highlight your experience in analytics, data science, and marketing measurement. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how you can drive performance through data-driven decisions. Keep it engaging and relevant to the job description.
Showcase Your Achievements: Don’t just list your responsibilities; show us what you've accomplished! Use metrics and examples to demonstrate how you've successfully led teams or projects that align with our goals at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Crypto.com
✨Know Your Analytics Inside Out
Make sure you brush up on your analytics and data science knowledge. Be prepared to discuss specific attribution models, marketing mix modelling, and how you've applied AI in previous roles. This will show that you’re not just familiar with the concepts but can also implement them effectively.
✨Showcase Your Leadership Skills
As a senior role, they’ll want to see your leadership capabilities. Prepare examples of how you've built and led high-performing teams in the past. Highlight your experience in collaborating with cross-functional teams to drive data-driven decisions.
✨Demonstrate Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios related to marketing measurement and analytics. Think about how you would approach building scalable attribution frameworks or deploying AI-driven solutions. This will showcase your strategic thinking and operational expertise.
✨Prepare for Technical Questions
Expect some technical questions around tools like Google BigQuery, Tableau, and AppsFlyer. Brush up on your SQL skills and be ready to discuss how you’ve used these tools to derive insights and drive marketing strategies. This will demonstrate your hands-on experience and technical proficiency.
