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- Tasks: Lead data analysis to drive subscriber growth and engagement strategies.
- Company: Fast-paced media and digital publishing group in London.
- Benefits: Competitive salary, hybrid work model, and sponsorship available.
- Why this job: Shape data-driven decisions and make a real impact on multiple titles.
- Qualifications: 6+ years in analytics with strong SQL and Python skills.
- Other info: Dynamic environment with opportunities for collaboration and career growth.
The predicted salary is between 60000 - 80000 £ 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.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Research, Analyst, and Information Technology
Industries: Staffing and Recruiting
Analytics Manager employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager
✨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
Prepare for those interviews! Research the company and its products, especially how they use data. Be ready to discuss your past experiences and how they relate to the role of Analytics Manager.
✨Tip Number 3
Show off your skills! If you’ve got a portfolio of dashboards or projects, bring them along to the interview. Demonstrating your analytical prowess can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Analytics Manager
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 data and how you can contribute to our growth strategies. We love seeing candidates who can translate insights into actionable recommendations.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building dashboards or developing predictive models, we want to know how you've used your skills to drive business performance.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at trg.recruitment
✨Know Your Data Inside Out
As an Analytics Manager, you'll need to demonstrate your expertise in data analysis. 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 build dashboards and track KPIs.
✨Showcase Your Predictive Modelling Skills
Be prepared to talk about your experience with customer segmentation and predictive models. Think of a time when your analysis directly influenced marketing or product strategy. This will show your potential employer that you can translate complex data into actionable recommendations.
✨Emphasise Collaboration and Initiative
In a fast-paced environment, teamwork is crucial. Share examples of how you've collaborated with cross-functional teams to achieve common goals. Highlight instances where you took the initiative to solve problems or improve processes, as this will resonate well with the interviewers.
✨Prepare Questions That Matter
Interviews are a two-way street. Prepare insightful questions about the company's analytics strategy, team dynamics, and growth opportunities. This not only shows your interest but also helps you gauge if the company is the right fit for you.
