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- Tasks: Analyse subscription funnels and user behaviour to drive insights.
- Company: Leading global technology firm based in London.
- Benefits: Hybrid work options, career development opportunities, and impactful projects.
- Why this job: Make a real difference in user engagement and customer lifetime value.
- Qualifications: 5+ years in data analysis, strong SQL skills, and BI tool experience.
- Other info: Collaborative environment with opportunities for growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading global technology firm in London is seeking a Data Analyst specializing in LTV and Subscriptions. This mid-level, full-time, hybrid role involves:
- Analyzing subscription funnels and user behavior
- Developing models for customer lifetime value
- Collaborating across teams to enhance user engagement
Ideal candidates will have:
- 5+ years in data analysis
- Strong SQL skills
- Experience with BI tools
The position offers opportunities for impact, career development, and hybrid work options.
Subscription Insights Analyst — LTV & Churn in London employer: 90min
Contact Detail:
90min Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Subscription Insights Analyst — LTV & Churn in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to LTV and subscriptions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and BI tools knowledge. Be ready to discuss how you've used these skills in past roles to drive user engagement and analyse subscription funnels.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from passionate candidates who are eager to make an impact in the tech world. Plus, it’s the best way to ensure your application gets noticed!
We think you need these skills to ace Subscription Insights Analyst — LTV & Churn in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, especially with LTV and subscriptions. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL prowess and any BI tools you’ve used.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you a perfect fit. We love seeing candidates who can connect their experiences to our mission.
Showcase Your Analytical Skills: In your application, include specific examples of how you've analysed user behaviour or improved subscription funnels in the past. We’re looking for concrete results that demonstrate your impact in previous roles.
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 you’re keen on joining our team!
How to prepare for a job interview at 90min
✨Know Your Numbers
As a Subscription Insights Analyst, you'll be diving deep into data. Brush up on your SQL skills and be ready to discuss specific metrics related to LTV and churn. Prepare examples of how you've used data analysis to drive decisions in previous roles.
✨Understand the Subscription Model
Familiarise yourself with different subscription models and their impact on customer behaviour. Be prepared to discuss how you would analyse subscription funnels and what key indicators you would focus on to enhance user engagement.
✨Collaboration is Key
This role involves working across teams, so think about past experiences where you collaborated successfully. Be ready to share examples of how you’ve worked with other departments to achieve common goals, especially in enhancing user experience.
✨Show Your Passion for Data
Let your enthusiasm for data shine through! Discuss any personal projects or interests related to data analysis, particularly in the subscription space. This will show that you're not just qualified, but genuinely excited about the role.
