Senior Data Analyst

Join our London team as a Senior Data Analyst specializing in LTV and subscriptions. In this mid-level, full-time, hybrid role, you will analyze subscriber behavior, develop models to project customer lifetime value, and drive strategies to improve retention. You will work closely with our Growth, Product, and Editorial teams to ensure data-driven decision-making.

• Analyser le parcours d'abonnement de bout en bout, en suivant les utilisateurs depuis les visiteurs anonymes jusqu'aux abonnés payants, afin d'identifier les points de chute et les opportunités d'amélioration.
• Développer et maintenir des modèles de valeur à vie des abonnés (LTV), en les affinant continuellement en incorporant de nouvelles données pour améliorer leur précision.
• Collaborer avec les équipes de croissance et de marketing pour définir des plans de mesure du succès pour les initiatives.
• You demonstrate strong problem-solving skills and attention to detail, with the ability to validate data integrity, spot anomalies, and ensure accurate calculation of metrics like LTV
• You communicate complex analytical findings clearly and make data-driven recommendations
• You work effectively across functions and manage multiple priorities in a dynamic environment
• You hold a ./B.A. in Statistics, Economics, Business, Computer Science, or a related field, or equivalent practical experience
• You have 5+ years of experience in data analysis or data science, with a focus on user lifecycle, customer analytics, or subscription metrics
• You are familiar with statistical analysis and predictive modeling concepts such as cohort analysis, regression, survival analysis, experimentation, and churn prediction, even if you are not a dedicated data scientist
• You understand experimental design in product or marketing contexts, including defining success metrics, determining sample sizes, and evaluating statistical significance
• You bring advanced SQL skills and are comfortable querying and manipulating large datasets in a cloud data warehouse environment
• You have experience building and maintaining data pipelines or intermediate data models, transforming raw event logs into aggregated, analysis-ready datasets for high-performance reporting
• You have worked with BI and data visualization tools, ideally Looker Studio, to build dashboards and reports that track KPIs over time
• Previous experience in subscription-based digital media or a similar industry (e.g., streaming services, membership products) where you’ve worked on subscriber analytics
• Hands-on experience with subscription management or CRM platforms (such as Piano, Zuora, Stripe, or Salesforce Marketing Cloud) – understanding their data structures and how to extract meaningful insights from them
• Knowledge of customer segmentation and personalization strategies, possibly using CDP (Customer Data Platform) tools like BlueConic
• Programming skills in Python or R for advanced data analysis or to implement custom predictive models beyond basic SQL (e.g., using libraries for churn modeling or LTV projections)
• A passion for sports and familiarity with Minute Media’s content – understanding our audience’s interests can help in crafting more relevant insights
• Experience analyzing web/app user behavior using tools like Google Analytics or Mixpanel, especially if related to funnel analysis or retention tracking