At a Glance
- Tasks: Analyse subscriber behaviour and provide insights to enhance customer experience.
- Company: Join News UK, a leading media business with a diverse range of brands.
- Benefits: Enjoy competitive pay, health insurance, gym discounts, and generous holiday leave.
- Other info: Be part of a vibrant community that values diversity and collaboration.
- Why this job: Make a real impact by driving growth through data and innovative analysis.
- Qualifications: Experience with SQL and data visualisation tools like Tableau or Looker Studio.
The predicted salary is between 45000 - 55000 £ per year.
Your team: You’ll be joining the Analytics team to help maximise our relationship with 500,000+ subscribers on The Times and The Sunday Times, contributing to continued annual growth. We are at the forefront of innovative approaches to both data and customer experience, evidenced by the team recently winning 4 ‘best use of data’ awards, living up to our vision of driving the business through data.
Your role: You will add value to The Times and The Sunday Times by increasing understanding of our audience and their behaviour, before and after the subscription. You will work closely with teams including the Newsrooms, Product Development, Marketing, User Experience and Technology to provide reporting, analysis and actionable insights to improve decision making in product, content, marketing and price, ultimately contributing to increasing our subscriber base.
Day to day you will:
- Analyse subscriber behaviour and audience data across pre and post-subscription journeys to unlock key growth opportunities.
- Build, maintain, and present dashboards and reporting suites for performance marketing, CRM, and customer teams using Tableau or Looker Studio.
- Collaborate with cross functional stakeholders—including product managers, marketers, and editorial teams—to translate business challenges into structured data analysis.
- Interrogate large datasets using SQL within our Google BigQuery data warehouse to evaluate campaign efficacy, pricing strategies, and content engagement.
- Identify and implement automation for routine analytics tasks to free up focus for complex business queries.
What we’re looking for from you:
- Practical capability using SQL to query, manipulate, and process large datasets within a modern data warehouse environment.
- Hands‑on practice creating clear visual dashboards and reports using tools like Tableau or Looker Studio to convey technical insights to non‑technical partners.
- Strong business acumen regarding subscription models, including how audience acquisition, retention, and engagement levers drive growth.
- Clear communication skills with a focus on influencing stakeholders and adapting complex analytical findings into strategic recommendations.
- Proactive problem‑solving skills with the ability to navigate fast‑paced environments and prioritise supportive analytics requests effectively.
We are committed to providing an inclusive recruitment process. If you require reasonable adjustments due to a disability or health condition at any stage of your application or interview, please let us know. You can contact us at careers@news.co.uk to discuss how we can support you to perform at your best.
Analyst - Subscription & Customer Insights employer: The Times
The Times is an exceptional employer, offering a dynamic work environment that fosters creativity and innovation in the field of communications. With a strong commitment to employee growth, we provide opportunities for professional development and a supportive culture that values collaboration and diversity. Located in a vibrant city, our team enjoys competitive benefits, including maternity leave and medical insurance, making it a rewarding place to advance your career in media PR.
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We think this is how you could land Analyst - Subscription & Customer Insights
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We think you need these skills to ace Analyst - Subscription & Customer Insights
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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