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.
Responsibilities
- 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.
Requirements
- 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).