Strategic Subscriptions Analytics Manager Location: Harmsworth Media Headquarters – 9 Derry Street, Kensington, London, W8 5HY. Position: Permanent - 3 days per week in the office Package Description Our benefits package increases the longer you’ve been with us. Here’s some of what to expect: 25 days’ holiday (increasing by 1 per year up to a total of 30) Upon joining you will be automatically enrolled onto the Pension Plan at the minimum level of 5% employee contribution, 3% Company contribution. Life cover under the Pension Plan of up to 3x your basic salary. DMGT Discounts (for discounts on online shopping, vouchers and reloadable cards) Subsidised canteen Onsite gym (Northcliffe House only) Onsite nurse and GP clinics (Northcliffe House only) Our Employee Assistance Programme Discounted dining cards Plus many other benefits…. Job Introduction Harmsworth Media seeks a talented Strategic Subscriptions Analytics Manager with demonstrable experience within subscription file management. This vital role will lead on subscriber forecasting and modelling along with retention / churn analysis to support the growth and management of subscriptions with the intelligent application of data and insights. You will work closely with Marketing, Editorial, Product and Finance teams to put analytics and insights to work in helping to achieve our business goals. You will have the opportunity to bring continuous improvement, evolution and best practices of Subscriber analytics and insights across iNews and New Scientist. You will ideally be a subject matter expert (SME) in Customer/Subscriber modelling and forecasting. Main Responsibilities Subscriber File Management Develop and monitor overall key subscriber health metrics, including subscriber price forecasting and modelling along with retention / churn analysis to support the growth and management of subscriptions with the intelligent application of data and insights Customer Lifetime Value (CLV) Analysis Calculate and analyse CLV to understand the long-term profitability of identified subscriber segments. Incorporate CLV insights into churn prediction models for a more holistic understanding of customer value. Subscriber Churn Forecasting Develop forecasting models to predict future churn rates based on historical data and traffic trends. Provide accurate and timely forecasts to enable proactive decision-making and inform strategic planning. Customer Retention Campaigns Work closely with Subscriptions Team to design and implement targeted customer retention campaigns based on the insights gained from your data analysis. Collaborate with stakeholders to inform personalized offers, promotions, and incentives to retain at-risk customers. A/B Testing for Churn Mitigation Strategies Work with Subscription Team to analyse performance of A/B testing on various churn mitigation strategies to identify the most effective interventions. Iterate through strategies based on testing results and analysis to continually improve the effectiveness of retention efforts. Subscriber Behaviours Analyse subscriber activity and behaviours to identify which may cause subscribers to churn; help uncover the data to develop strategies to enhance the subscriber experience to aid retention and growth. Stakeholder Collaboration for Product Improvement Work closely and proactively with the wider teams to address product/service issues identified through churn analysis. Develop Culture Foster a subscriber-centric culture by promoting awareness and understanding through the proactive application and sharing of data analysis across the organisation. Automation and Scalability Implement automated processes for routine churn analysis tasks to improve efficiency – most likely in the form of reporting. Encourage a culture of continuous learning and innovation within the team. Establish and monitor key performance indicators (KPIs) related to churn analysis. Regularly report on the progress of retention strategies, highlighting successes and areas for improvement. Devise and produce regular KPI Reporting and Key Metrics Monitoring. Ethics Adhere to ethical standards in data collection and analysis, ensuring customer privacy and compliance with relevant regulations at all times. Person Specification 5 years of demonstrable experience within Customer/Subscriber retention for a digital business – ideally within Publishing/Media. Strong and demonstrable experience and deep understanding of Data Analysis and related tools/techniques. Exhibit a high level of expertise in understanding web derived data and interpreting it within real life business situations. Proficiency in data analysis/visualisation tools and languages (e.g., Excel, PowerQuery, SQL, Python, R, Microsoft PowerBI, Tableau, Jupyter Notebooks) as well as Cloud architectures (Google Cloud/Microsoft Azure) and data modelling. Demonstrate experience of using machine learning tools and statistical techniques to produce solutions to problems. High level of attention to data detail and thoroughness. Ability to think data end-to-end. Strong analytical thinking and problem-solving skills. Ability to self-learn and acquire expertise rapidly in own and other related fields. Ability to work with and without direction and deliver to deadline. Confident, motivated, proactive, focussed on business objectives and a strong communicator. Strong people skills, able to engage with a wide range of stakeholders at all levels. Natural curiosity and desire to help drive this business forward with the use of analytics and insights About dmg::media dmg media’s brands deliver highly engaging, trusted content to millions of loyal customers around the globe, 24 hours a day, seven days a week. Together, Daily Mail, The Mail on Sunday, Metro, i, MailOnline, Mail Plus, metro.co.uk and inews.co.uk reach more than 11m people daily in the UK. Globally, our brands reach 180m unique browsers every month. In March 2021, the business acquired the world’s leading science title, New Scientist. dmg media’s newsbrands are expert at getting to the bottom of the stories most relevant to their readers. PAMCo 1 2020 Omniture April 2021 Our Commitment We are committed to increasing diversity and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status, or disability. We are Disability Confident Committed. Please let us know if you require any recruitment documentation in other formats or if you require reasonable adjustments to be made during the recruitment process. Please be assured that any such information will be held separately to your recruitment application and will not be considered as part of the selection process.
