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- Tasks: Lead marketing analytics strategy and drive performance through data-driven insights.
- Company: Dynamic company focused on innovative growth and analytics.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional development.
- Why this job: Make a significant impact on company growth with cutting-edge analytics and AI solutions.
- Qualifications: Proven experience in analytics, data science, and collaboration with marketing teams.
- Other info: Senior leadership role with high visibility and excellent career advancement potential.
The predicted salary is between 48000 - 72000 £ 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 (including Generative AI) that unearth actionable insights to drive customer growth. This is a senior leadership role with high visibility and direct impact on company growth.
Responsibilities
Head of Growth Analytics employer: Medium
Contact Detail:
Medium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Growth Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Showcase your skills! Create a portfolio or case studies that highlight your analytics and data science expertise. This will give 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. We recommend using the STAR method to structure your answers and demonstrate your impact effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Head of Growth Analytics
Some tips for your application 🫡
Show Your Analytical Skills: Make sure to highlight your experience with analytics and data science in your application. We want to see how you've used these skills to drive performance in previous roles, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing candidates who understand our mission and can connect their past experiences to what we’re looking for in the Head of Growth Analytics position.
Be Clear About Your Leadership Experience: Since this is a senior leadership role, it’s crucial to showcase your leadership experience. Share examples of how you’ve led teams or projects, and the impact you’ve made. We’re all about collaboration and driving growth together!
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 Medium
✨Know Your Analytics Inside Out
Make sure you brush up on your analytics skills and be ready to discuss specific frameworks and models you've worked with. Be prepared to share examples of how you've used data to drive marketing performance in previous roles.
✨Showcase Your Leadership Experience
As this is a senior role, highlight your leadership experience. Prepare stories that demonstrate how you've successfully led teams, influenced stakeholders, and driven strategic initiatives in marketing analytics.
✨Familiarise Yourself with AI Solutions
Since the role involves deploying AI-driven solutions, make sure you understand the latest trends in AI and how they can be applied to marketing analytics. Be ready to discuss any relevant projects or tools you've used.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in previous roles and how you overcame them, especially in relation to building scalable attribution frameworks or predictive models.
