At a Glance
- Tasks: Lead data analytics to boost subscriber growth and retention strategies.
- Company: A top media company in London with a focus on innovation.
- Benefits: Competitive salary, holiday allowance, pension plan, and more.
- Why this job: Make a real impact on subscriber engagement and retention.
- Qualifications: 6+ years in data analytics, strong SQL or Python skills.
- Other info: Join a dynamic team with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading media company in London is seeking an experienced Analytics Manager to drive data analytics initiatives supporting subscriber growth and retention strategies. You will lead data analysis efforts, define reports tracking KPIs, and develop customer segmentation models.
The ideal candidate has over 6 years of experience in data analytics, strong proficiency in SQL or Python, and the ability to communicate insights effectively.
This role offers a competitive benefits package including holiday allowance, pension plan, and more.
Subscription Analytics Lead for Growth & Retention in London employer: dmg media
Contact Detail:
dmg media Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Subscription Analytics Lead for Growth & Retention in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving SQL or Python. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics questions and case studies. We recommend practising how to communicate your insights clearly, as this is key for the role.
✨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 Subscription Analytics Lead for Growth & Retention in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics, especially with SQL or Python. We want to see how your skills align with our needs for subscriber growth and retention strategies.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Subscription Analytics Lead role. Share specific examples of how you've driven data analysis initiatives in the past and how they relate to our goals.
Showcase Your Communication Skills: Since communicating insights effectively is key, include examples in your application that demonstrate how you've successfully shared data findings with stakeholders. We love seeing clear and impactful communication!
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 this exciting opportunity with us!
How to prepare for a job interview at dmg media
✨Know Your Data Inside Out
Make sure you’re well-versed in data analytics concepts, especially those relevant to subscriber growth and retention. Brush up on your SQL or Python skills, as you might be asked to demonstrate your proficiency during the interview.
✨Prepare for KPI Discussions
Since the role involves defining reports tracking KPIs, be ready to discuss which KPIs you think are most important for subscriber growth. Have examples from your past experience where you successfully tracked and improved these metrics.
✨Showcase Your Communication Skills
This position requires effective communication of insights. Prepare to explain complex data findings in simple terms. You could even practice explaining a past project to a friend who isn’t familiar with analytics to ensure you can convey your insights clearly.
✨Understand Customer Segmentation
Familiarise yourself with customer segmentation models and be prepared to discuss how you’ve used them in previous roles. Think about specific examples where your segmentation strategies led to improved retention rates.