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- Tasks: Lead analytics to boost subscriber health and retention strategies.
- Company: Join a leading publishing company trusted by millions globally.
- Benefits: Enjoy a hybrid work model with 3 days in the office.
- Why this job: Make a real impact on customer loyalty in a fast-paced digital environment.
- Qualifications: Must have experience in subscription analytics and data analysis tools like SQL and Python.
- Other info: Opportunity to collaborate with a dynamic Subscriptions Team.
The predicted salary is between 45000 - 105000 £ per year.
Analytics Manager
London (3 days office)
£75,000
Please note, you must have demonstrable experience within subscription (there is no negotiation on this).
This huge publishing company is trusted by millions of customers worldwide. Their ability to adapt traditional publishing to the demands of the digital age has cemented their position as a leader in this space. The business continues to expand its reach and influence, shaping the way audiences consume information in a fast-changing world.
About the role
- Oversee and evaluate key metrics related to subscriber health, including pricing forecasts and churn analysis.
- Regularly monitor KPIs and provide updates on retention strategies, highlighting achievements and areas needing attention.
- Utilise data-driven insights to optimise subscription strategies and foster sustainable growth.
- Develop advanced models to anticipate churn trends using historical and behavioural data.
- Collaborate with the Subscriptions Team to create and execute targeted campaigns to retain at-risk customers.
- Use analytical insights to inform customised offers, discounts, and promotions designed to strengthen loyalty.
- Work to develop strategies that enhance customer experiences and increase retention.
About you
- Several years experience in an analyst role focusing on subscriber or customer retention, preferably in Publishing or Media.
- Strong experience with data analysis tools and platforms such as SQL, Python, Power BI, Tableau.
- Ability to operate autonomously, managing tasks efficiently while meeting deadlines.
- Proficiency in applying machine learning techniques to solve retention challenges.
- Strong interpersonal skills, capable of engaging effectively with a diverse group of stakeholders.
- Exceptional ability to handle data intricately and think through complex processes.
Analytics Manager employer: Sphere Digital Recruitment Group
Contact Detail:
Sphere Digital Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager
✨Tip Number 1
Make sure to showcase your experience with subscription models in your conversations. Highlight specific projects where you successfully improved subscriber retention or reduced churn, as this is a key requirement for the role.
✨Tip Number 2
Familiarize yourself with the latest trends in the publishing industry, especially how digital transformation is impacting subscription services. Being able to discuss these trends will demonstrate your passion and understanding of the field.
✨Tip Number 3
Prepare to discuss your proficiency with data analysis tools like SQL, Python, and Power BI. Be ready to provide examples of how you've used these tools to derive insights that led to actionable strategies in previous roles.
✨Tip Number 4
Emphasize your ability to work autonomously and manage multiple tasks efficiently. Share examples of how you've met tight deadlines while delivering high-quality results, as this will resonate well with the expectations of the role.
We think you need these skills to ace Analytics Manager
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your demonstrable experience within subscription models. Provide specific examples of how you've successfully managed subscriber retention and utilized data-driven insights in previous roles.
Showcase Technical Skills: Clearly outline your proficiency with data analysis tools such as SQL, Python, Power BI, and Tableau. Mention any relevant projects or achievements that demonstrate your ability to apply these tools effectively.
Tailor Your Application: Customize your CV and cover letter to reflect the key responsibilities and requirements mentioned in the job description. Use similar language and terminology to show that you understand the role and its challenges.
Demonstrate Interpersonal Skills: Provide examples of how you've engaged with diverse stakeholders in past roles. Highlight your ability to communicate complex data insights clearly and effectively, which is crucial for this position.
How to prepare for a job interview at Sphere Digital Recruitment Group
✨Showcase Your Subscription Experience
Make sure to highlight your demonstrable experience within subscription models during the interview. Be prepared to discuss specific examples of how you've successfully managed subscriber retention and any strategies you've implemented in previous roles.
✨Demonstrate Data Analysis Skills
Since the role requires strong experience with data analysis tools, come ready to discuss your proficiency in SQL, Python, Power BI, and Tableau. You might even want to prepare a brief case study or example where you used these tools to drive insights or improve retention.
✨Prepare for Behavioral Questions
Expect questions that assess your ability to work autonomously and manage tasks efficiently. Think of situations where you had to meet tight deadlines or handle complex processes, and be ready to explain how you navigated those challenges.
✨Engage with Stakeholders
Given the importance of interpersonal skills in this role, prepare to discuss how you've effectively engaged with diverse stakeholders in the past. Share examples of how you collaborated with teams to create targeted campaigns or improve customer experiences.
