Subscription Analytics Manager

As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting., Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value.
Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business.
Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies.
Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques.
Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives.
Deliver actionable recommendations to optimise marketing spend, customer acquisition, product initiatives and retention strategies.
Responsible for innovating in how we leverage AI to access and give insights to the newsroom, marketing and product teams ., GA4 Analytics Glossary - to enable a clear understanding of the tags/events/parameters implemented on the website and their purpose. This is going to feed into a wider dmg Media initiative, where we are looking at reviewing our analytics implementation.

6+ years of experience in data and marketing analytics, preferably in a subscription-based business .
Strong commercial acumen , with the ability to translate data insights into business strategies.
Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling.
Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio.
Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences.
Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling.
Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM).

Example projects