Data Product Analyst

Data Product Analyst

Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data to enhance user experience and drive audience growth across digital platforms.
  • Company: Join Minute Media, a leading global sports content and technology company.
  • Benefits: Enjoy hybrid work, career development, private health insurance, and fun company events.
  • Why this job: Make a meaningful impact in a fast-growing company while working with cutting-edge analytics.
  • Qualifications: 3+ years as a Data/Product Analyst with strong SQL and A/B testing skills.
  • Other info: Diverse and inclusive workplace with opportunities for community involvement.

The predicted salary is between 36000 - 60000 ÂŁ per year.

Minute Media is a leading global sports content and technology company. We create authentic stories from diverse perspectives across our portfolio of content brands, which include Sports Illustrated, 90min and FanSided. We are seeking an experienced, data-driven Product Analyst to join our Owned & Operated (O&O) team. You’ll play a pivotal role in advancing subscription, engagement, and audience analytics across our digital platforms. This includes enhancing paywall and registration performance, utilising AI to deliver a more local and personalised experience, supporting A/B testing infrastructure, and delivering insights that drive audience growth, monetisation, and retention. Working closely with Product, Growth, and Editorial, you’ll connect data with strategy—turning insights into product and content improvements that scale across our portfolio.

What You’ll Do

  • Strategic Analytics & Experimentation: Contribute to the analytics roadmap for O&O, spanning Content, Growth/SEO, Syndication, Product, and Subscription. Design, implement, and evaluate A/B tests to enhance various aspects of user experience, including registration and subscription flows, content consumption, and monetization. Partner with Product and Tech teams to establish and validate incrementality models (e.g. users authentication uplift, registration wall conversion rate, and paywall engagement). Analyse the impact of UX, design, and feature releases on engagement, RPS, and SEO performance.
  • First-Party Data & Revenue Analytics: Lead analytics on First Party Data initiatives, including LTV modelling, segmentation, and incremental revenue measurement for registered and subscribed users. Collaborate on forecasting for 2026 O&O growth and First Party initiatives, using trend-based and scenario modelling to inform planning. Build infrastructure and dashboards to measure LTV by acquisition source, campaign, or user type, and identify high-value audience cohorts.
  • Engagement & Content Performance: Develop deep‑dive reporting and insights on content consumption, recirculation, and recommendation logic to drive engagement improvements. Support evaluation of AI‑driven metadata features (e.g., auto‑summaries, highlights, FAQs) through controlled testing and engagement KPIs. Partner with editorial to uncover trends in article engagement, scroll depth, and content type performance; help identify underperforming authors or articles as per O&O cleanup initiatives.
  • Acquisition, Retention & CRM Analytics: Analyse the subscriber and registered-user funnels, from acquisition through to churn, identifying conversion bottlenecks and retention drivers. Support reporting automation for email, push, and newsletter engagement (e.g., SailThru API integrations, open/click/bounce analysis). Drive actionable insights for CRM, lifecycle, and marketing teams to improve campaign performance and optimise communication touch points.
  • Infrastructure & Reporting: Develop, maintain, and evolve self‑serve dashboards across Tableau/Looker for O&O teams—covering traffic, content, SEO, paywall, and newsletter performance. Work with Data Engineering to ensure reliable data pipelines and tracking across products (e.g. new integrations like BlueConic, OpenPass, or Rivery connections). Support automation of key recurring reporting processes (e.g. invoice generation, traffic daily reports, syndication revenue transparency).

Requirements

  • 3+ years’ experience as a Data or Product Analyst, ideally within digital media, e-commerce, or subscription businesses.
  • Proven track record of experiment design and evaluation, including A/B testing and statistical validation.
  • Strong proficiency in SQL, GA4/Adobe Analytics, and data visualisation tools (e.g. Tableau, Looker).
  • Familiarity with subscription and user lifecycle metrics: CAC, churn, CLV, LTV, retention cohorts.
  • Experience building automated dashboards and data pipelines, ideally in collaboration with data engineers.
  • Ability to translate complex data into clear insights and recommendations for non-technical teams.
  • Understanding of SEO, content performance analytics, and traffic attribution.
  • Excellent communication, prioritisation, and stakeholder management skills.

Advantageous

  • Experience in media or publishing, particularly with O&O platforms or paywall ecosystems.
  • Familiarity with CRM systems (e.g. BlueConic, SailThru), subscription management (e.g. Recurly), and experimentation platforms.
  • Exposure to AI‑driven content analytics or recommendation systems.
  • Comfort working in agile environments with Product and Engineering counterparts.

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!

Data Product Analyst employer: 90min

Minute Media is an exceptional employer, offering a dynamic work environment in the heart of Central London. With a strong focus on employee growth, we provide career development opportunities and skill-based workshops each quarter, alongside a hybrid work model that promotes work-life balance. Our commitment to diversity and inclusion, coupled with unique benefits such as private health insurance and community involvement initiatives, makes Minute Media a rewarding place to build a meaningful career in the fast-evolving world of sports content and technology.
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Contact Detail:

90min Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Product Analyst

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Minute Media. A casual chat can lead to opportunities you might not find on job boards.

✨Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your experience with data analytics and A/B testing. This will give you an edge during interviews.

✨Tip Number 3

Be ready to discuss your insights! When you land that interview, come prepared with examples of how you've turned data into actionable strategies. It’s all about connecting the dots!

✨Tip Number 4

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 the team.

We think you need these skills to ace Data Product Analyst

Data Analysis
A/B Testing
SQL
GA4
Adobe Analytics
Data Visualisation
Tableau
Looker
LTV Modelling
Segmentation
User Lifecycle Metrics
SEO Analytics
Communication Skills
Stakeholder Management
Dashboard Automation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the role of Data Product Analyst. Highlight your experience with A/B testing, SQL, and any relevant analytics tools. 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 and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.

Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you’ve used them! Include examples of how you’ve turned data into actionable insights in previous roles. We love seeing real-world applications of your expertise.

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 get all the updates. Plus, it’s super easy to do!

How to prepare for a job interview at 90min

✨Know Your Data Tools

Make sure you’re well-versed in SQL, GA4, and data visualisation tools like Tableau or Looker. Brush up on your skills and be ready to discuss how you've used these tools in past projects, especially in relation to A/B testing and analytics.

✨Understand the Business Metrics

Familiarise yourself with key metrics such as CAC, churn, LTV, and retention cohorts. Be prepared to explain how these metrics impact business decisions and how you’ve used them to drive insights in previous roles.

✨Prepare for Scenario Questions

Expect questions that ask you to design an experiment or analyse a specific scenario. Think through examples where you’ve successfully implemented A/B tests or improved user engagement, and be ready to walk the interviewer through your thought process.

✨Showcase Your Communication Skills

As a Data Product Analyst, you’ll need to translate complex data into clear insights for non-technical teams. Practice explaining your past projects in simple terms, highlighting how your insights led to actionable changes in product or content strategy.

Data Product Analyst
90min
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  • Data Product Analyst

    Full-Time
    36000 - 60000 ÂŁ / year (est.)
  • 9

    90min

    50-100
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