At a Glance
- Tasks: Analyse subscriber behaviour and churn patterns to drive retention strategies.
- Company: Join a global tech company revolutionising sports content consumption.
- Benefits: Enjoy hybrid work, career development, health insurance, and fun company events.
- Other info: Passion for sports and a dynamic work environment await you!
- Why this job: Make a real impact in a fast-growing company while working with data.
- Qualifications: 5+ years in data analysis, strong SQL skills, and experience with subscription metrics.
The predicted salary is between 36000 - 60000 £ per year.
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, which powers Minute Media's portfolio of trusted content brands, including Sports Illustrated, The Players' Tribune, and FanSided as well as hundreds of sports leagues, teams, broadcasters, third-party publishers and advertisers. The technology platform includes STN Video, an online video platform (OVP), which provides access to a robust sports highlights rights portfolio, and Magnifi, an AI-driven SaaS platform, that enables rights holders to detect key moments and create highlights in real time. 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. Minute Media has offices in the US, UK, Israel, Brazil, Asia and India.
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
- 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.
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.
Senior Data Analyst in London employer: Minute Media
At Minute Media, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Senior Data Analyst in London, you will benefit from collaborative opportunities across diverse teams, access to professional development resources, and a commitment to innovation that makes your contributions impactful. Join us to be part of a forward-thinking company that values your insights and supports your career growth in the exciting world of digital media.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Minute Media. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by diving deep into our products and services. Understand how data drives our subscription models and be ready to discuss your ideas on improving user engagement and retention.
✨Tip Number 3
Show off your analytical skills! Bring examples of past projects where you've used data to solve problems or improve processes. We love seeing how you think and what you can bring to the table.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with LTV and subscriptions, and don’t forget to mention any relevant tools or techniques you’ve used. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data analysis in the sports industry. Share specific examples of how you've driven user engagement or improved retention in previous roles. Let your enthusiasm show!
Showcase Your Analytical Skills:In your application, be sure to highlight your analytical prowess. Mention any projects where you’ve built models or conducted deep-dive analyses. We love seeing how you’ve turned data into actionable insights that have made a real impact.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Minute Media
✨Know Your Data Inside Out
As a Senior Data Analyst, you'll be expected to dive deep into subscriber behaviour and churn patterns. Make sure you brush up on your SQL skills and be ready to discuss specific examples of how you've used data to drive decisions in previous roles.
✨Showcase Your Analytical Skills
Prepare to talk about your experience with LTV and churn modelling. Bring examples of models you've built or improved, and be ready to explain the statistical techniques you used. This will demonstrate your ability to translate complex data into actionable insights.
✨Collaboration is Key
Minute Media values cross-functional collaboration, so be prepared to discuss how you've worked with different teams in the past. Share examples of how you've communicated insights to both technical and non-technical audiences, as this will highlight your ability to bridge gaps between departments.
✨Passion for Sports Matters
Since Minute Media is all about sports content, showing your enthusiasm for the industry can set you apart. Be ready to discuss your favourite sports, teams, or content from Minute Media, and how that passion can inform your work as a data analyst.