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- Tasks: Lead data analysis to drive subscriber growth and engagement strategies.
- Company: Fast-moving media and digital publishing group with a dynamic environment.
- Benefits: Competitive salary, hybrid work model, and sponsorship available.
- Why this job: Shape data-driven decisions and make a real impact in a thriving industry.
- Qualifications: 6+ years in analytics, proficient in SQL and Python or R.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 60000 - 84000 £ per year.
We’re looking for an experienced analytics professional to lead subscription insights and growth strategies for a fast-moving media and digital publishing group. You’ll play a key role in shaping how data informs product, marketing, and retention decisions across multiple titles.
What you’ll do:
- Lead data analysis across the full subscriber lifecycle - from acquisition and engagement to churn and lifetime value.
- Build and maintain dashboards and reporting frameworks that track core KPIs and drive business performance.
- Develop customer segmentation and predictive models to inform marketing and product strategy.
What we’re looking for:
- Strong background in analytics, ideally 6+ years in a subscription or customer-focused environment.
- Proficiency in SQL and Python or R, with experience using BI tools such as Power BI, Tableau, or Looker Studio.
- Confident with statistical analysis, predictive modelling, and translating insights into clear recommendations.
- Comfortable working in a fast-paced setting where collaboration and initiative are key.
Interview process: two stages.
Hybrid: three days per week in the office (Central London).
Sponsorship can be offered for the right candidate.
If interested please apply directly or email me on mmatysik@trg-uk.com
Analytics Manager in London employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager 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 sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for those interviews! Research the company and its products, and think about how your skills in analytics can directly impact their growth strategies. Show them you’re the perfect fit!
✨Tip Number 3
Practice your data storytelling. Be ready to explain complex insights in a simple way. Use examples from your past work to demonstrate how you’ve driven results through analytics.
✨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 take that extra step!
We think you need these skills to ace Analytics Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics, especially in subscription or customer-focused environments. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL, Python, or R expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about analytics and how you can contribute to our growth strategies. We love seeing candidates who can connect their past experiences to what we do at StudySmarter.
Showcase Your Analytical Skills: In your application, give examples of how you've used data analysis to drive business performance. Whether it's through dashboards or predictive models, we want to know how you’ve made an impact in previous roles!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at trg.recruitment
✨Know Your Data Inside Out
As an Analytics Manager, you'll be expected to lead data analysis across the subscriber lifecycle. Brush up on your SQL and Python skills, and be ready to discuss specific projects where you've used these tools to drive insights. Prepare examples that showcase your ability to translate complex data into actionable strategies.
✨Showcase Your Dashboard Skills
Familiarise yourself with BI tools like Power BI, Tableau, or Looker Studio. During the interview, be prepared to talk about how you've built and maintained dashboards in the past. Highlight any specific KPIs you tracked and how they influenced business performance, as this will demonstrate your hands-on experience.
✨Predictive Modelling is Key
Since developing customer segmentation and predictive models is part of the role, come equipped with examples of how you've successfully implemented these techniques. Discuss the impact of your models on marketing and product strategy, and be ready to explain your thought process behind them.
✨Emphasise Collaboration and Initiative
This role requires working in a fast-paced environment, so it's crucial to highlight your collaborative skills. Share experiences where you've worked cross-functionally to achieve goals, and demonstrate your initiative by discussing times when you took the lead on projects or proposed new strategies that benefited the team.
