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Skills: SQL, LTV Modeling, Churn Prediction, Data Visualization, Looker Studio
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Full-time
bachelor degree
Career Development Opportunities, Skill-based Workshops, Cycle To Work Scheme, Hybrid Vacation Model, Extended Parental Leave, Private Health Insurance
Posted 6d ago
~40 hrs/week
Responsibilities
Analyze the subscription funnel and user lifecycle to identify conversion bottlenecks and improve retention. Develop and maintain LTV and churn prediction models to provide actionable business recommendations for growth and product teams.
Requirements
Requires 5+ years of experience in data analysis with advanced SQL skills and proficiency in BI tools like Looker Studio. A degree in Statistics, Economics, Computer Science, or a related field is required.
Full job description
Minute Media is a global technology and content company built for the future of sports consumption. Minute Media’s proprietary technology platform enables the creation, distribution, and monetization of digital content experiences, powering Minute Media’s portfolio of trusted content brands, including Sports Illustrated, The Players’ Tribune, and FanSided, as well as third-party publishers and advertisers. The technology platform also includes STN Video, an online video platform (OVP) that provides access to a robust sports highlights rights portfolio. Minute Media is building the future of how the world connects with sport, powered by innovation, shared globally, and trusted by millions of fans and the partners we serve. For more information, visitwww.minutemedia.com.
We are looking for a data-driven Data Analyst specializing in LTV (Lifetime Value) & Subscriptions to join our London team. You will support all analytics related to our subscription products and user lifecycle. In this role, you will dive deep into subscriber behavior and churn patterns, develop models to project customer lifetime value, and help drive strategies to improve retention. You’ll work closely with our Growth, Product, and Editorial teams to ensure data-driven decision-making in areas like paywall optimization, subscriber engagement, and content strategy for member audiences. This is a mid-level, full-time, hybrid on-site role ideal for someone passionate about using data to fuel audience growth and loyalty.
What You’ll Do
Subscription Funnel & User Insights
Analyze the subscription funnel end to end, tracking users from anonymous visitors to registered users and paying subscribers in order to identify drop-off points, conversion bottlenecks, and opportunities to improve sign-up rates.
Monitor key subscription and user engagement metrics through daily, weekly, and monthly dashboards, and own analysis of metric changes over time.
Perform deep-dive analyses on user retention.
Present user insights to stakeholders by clearly identifying our most valuable users and what drives their engagement, and go beyond reporting by recommending concrete next steps to inform content and marketing decisions.
LTV & Churn Modeling
Develop and maintain subscriber Lifetime Value (LTV) models, continuously refining them by incorporating new data to improve accuracy.
Build and improve churn prediction models to proactively identify at-risk subscribers, using statistical or machine learning techniques as needed.
Work with large subscription and engagement datasets to calculate LTV and churn while accounting for promotional pricing, seasonality, and content engagement.
Translate model outputs into clear, actionable business recommendations.
Cross-Functional Collaboration
Collaborate with Growth and Marketing teams to define success measurement plans for initiatives.
Work closely with Product Managers and Engineers to ensure user interaction data is accurately captured and available in the data warehouse, and advocate for new data collection where it would improve LTV or churn analysis.
Partner with data and product teams to uncover trends in subscription behavior, including content engagement and the impact of new features on loyalty.
Communicate insights and recommendations clearly to both technical and non-technical audiences, tailoring depth and format to drive understanding and action.
Requirements
What You Have
You have 5+ years of experience in data analysis or data science, with a focus on user lifecycle, customer analytics, or subscription metrics.
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.
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 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 understand experimental design in product or marketing contexts, including defining success metrics, determining sample sizes, and evaluating statistical significance.
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.Sc./B.A. in Statistics, Economics, Business, Computer Science, or a related field, or equivalent practical experience.
Advantageous
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).
Experience analyzing web/app user behavior using tools like Google Analytics or Mixpanel, especially if related to funnel analysis or retention tracking.
A passion for sports and familiarity with Minute Media’s content – understanding our audience’s interests can help in crafting more relevant insights.
What You’ll Get
Opportunity to make a meaningful impact in a fast-growing company.
Career development opportunities & different skill-based workshops offered each quarter.
Central London based office.
Hybrid work model.
Cycle to Work scheme.
Hybrid vacation model.
Extended parental leave.
Private Health Insurance including mental health, dental and optical cover.
Standard access to WellHub with options to upgrade to premium membership.
Fun company events and celebrations with a focus on DEI each quarter.
Community involvement opportunities, both in-person and remote.
Minute Media is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Not sure that you're 100% qualified but are up for the challenge? We want you to apply!
Related keywords
LTVChurn ModelingSubscription MetricsCloud Data WarehouseBI ToolsLooker StudioPythonRGoogle AnalyticsMixpanelPianoZuoraStripeSalesforce Marketing CloudBlueConicCDP
Minute Media is a global technology and content company specializing in sports and culture. Minute Media’s proprietary tech platform enables the creation, distribution and monetization of digital content experiences. They own and operate leading sports content brands, including Sports Illustrated, The Players' Tribune, FanSided, and 90min, while also providing sports highlight rights through Minute Media’s most recent technology acquisition of STN Video. Minute Media has offices in New York, London, Tel-Aviv, São Paulo and Tokyo.
For more information, visit www.MinuteMedia.com.
Offices: 155 Avenue of the Americas, New York, NY 10013, US · 10 Northburgh Street, London, England EC1V 0AT, GB · 8 Yitzhak Sadeh St., Acro Tower, Tel Aviv, Tel Aviv 6777508, IL
Sports newsscoresvideosExpansive Social Media NetworkInteractive Article FeaturesBranded ContentSocial AmplificationSocial InfluencersFan EngagementVideo Production
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