Senior Data Analyst (LTV)
Senior Data Analyst (LTV)

Senior Data Analyst (LTV)

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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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, competitive salary, health insurance, and career development opportunities.
  • Why this job: Make a real impact in a fast-growing company while working with data-driven insights.
  • Qualifications: 5+ years in data analysis, strong SQL skills, and experience with subscription metrics.
  • Other info: Passion for sports and a dynamic work environment await you!

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.

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

  • 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 (LTV) employer: 90min

Minute Media is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to make a significant impact in the fast-evolving sports media landscape. With a central London office, we provide a hybrid work model, extensive career development opportunities, and a range of benefits including private health insurance and a cycle to work scheme, ensuring our team members thrive both personally and professionally.
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Contact Detail:

90min Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Analyst (LTV)

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Minute Media. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Prepare for interviews by diving deep into the company’s products and analytics. Show us you know your stuff about LTV and subscriptions – it’ll impress the hiring team!

✨Tip Number 3

Don’t just wait for job postings; be proactive! Check our website regularly and apply directly. We love seeing enthusiastic candidates who take the initiative.

✨Tip Number 4

Follow up after interviews with a thank-you note. It’s a simple gesture that shows your interest and keeps you fresh in our minds as we make decisions.

We think you need these skills to ace Senior Data Analyst (LTV)

Data Analysis
SQL
Data Manipulation
Data Pipeline Development
BI Tools
Looker Studio
Statistical Analysis
Predictive Modelling
Cohort Analysis
Churn Prediction
Problem-Solving Skills
Attention to Detail
Communication Skills
Cross-Functional Collaboration
Customer Analytics

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 sprinkle in those SQL skills! We want to see how you can bring value to our team.

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 and how your background aligns with our mission at Minute Media. Keep it engaging and personal – we love a good story!

Showcase Your Analytical Skills: In your application, give us examples of how you've tackled data challenges in the past. Whether it's building LTV models or improving user retention, we want to see your problem-solving prowess in action!

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!

How to prepare for a job interview at 90min

✨Know Your Data Inside Out

Before the interview, dive deep into your past projects and experiences related to data analysis, especially focusing on LTV and churn metrics. Be ready to discuss specific models you've developed and how they impacted user retention or subscription growth.

✨Showcase Your SQL Skills

Since advanced SQL skills are crucial for this role, prepare to demonstrate your ability to query large datasets. You might be asked to solve a problem on the spot, so practice writing SQL queries that could help analyse user behaviour or subscription trends.

✨Prepare for Cross-Functional Collaboration Questions

Think of examples where you've worked with different teams, like Growth or Product, to drive data-driven decisions. Be ready to explain how you communicated insights to both technical and non-technical audiences, as this is key for the role.

✨Stay Updated on Industry Trends

Familiarise yourself with the latest trends in subscription-based digital media and analytics. Being able to discuss how these trends could impact Minute Media's strategies will show your passion for the industry and your proactive approach to data analysis.

Senior Data Analyst (LTV)
90min

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