Product Analyst
Product Data Analyst
Location: London (2 days a week in office)Salary: Up to £50,000 + Benefits
THE COMPANYHarnham is working exclusively with a leading global sports content and technology company whose portfolio includes giants like Sports Illustrated, 90min. They combine storytelling, technology, and data to engage millions of users worldwide - and now they're looking for a Product Data Analyst to help drive growth across their Owned & Operated platforms.
This is a unique opportunity to sit at the heart of product, growth, editorial, and data - playing a key role in revenue optimisation, audience development, and high-impact experimentation.
THE ROLEAs a Product Data Analyst, you'll work across subscription analytics, content performance, first-party data strategy, and experimentation. You will turn complex data into actionable insights that shape product development, user experience, and monetisation across Minute Media's digital ecosystem.
You will: Strategic Analytics & Experimentation- Contribute to the analytics roadmap across Content, Growth/SEO, Product, Syndication, and Subscription.
- Design and evaluate A/B tests to optimise registration flows, subscription funnels, monetisation, and content experience.
- Partner with Product & Tech on incrementality models such as authentication uplift and paywall engagement.
- Analyse UX, feature releases, and design changes on engagement, RPS, and SEO.First-Party Data & Revenue Analytics
- Lead analytics on first-party data: LTV modelling, segmentation, incremental revenue measurement.
- Support forecasting and scenario modelling for 2026 growth.
- Build dashboards to analyse LTV by campaign, source, or cohort.
- Deliver deep-dive insights on content consumption, recirculation, and recommendation logic.
- Analyse AI-driven metadata features (summaries, highlights, FAQs) and their impact on engagement.
- Partner with editorial teams to surface performance trends, scroll-depth patterns, and underperforming content.
- Analyse subscriber and registered-user funnels to identify conversion barriers and churn drivers.
- Automate reporting for email, push, and newsletters (e.g., SailThru integrations).
- Provide insights that inform CRM, lifecycle marketing, and comms optimisation.
- Build and maintain dashboards across Tableau/Looker.
- Work with Data Engineering to ensure reliable tracking, pipelines, and integrations.
- Automate key recurring reporting processes.
To be successful, you'll have:
- 3+ years as a Data or Product Analyst in digital media, e-commerce, or subscription environments.
- Strong experience with A/B testing, experiment design, and statistical validation.
- Advanced SQL and analytics tooling (GA4/Adobe, Tableau, Looker).
- Understanding of lifecycle metrics (CAC, churn, LTV, retention cohorts).
- Experience building automated dashboards and collaborating with data engineers.
- Ability to communicate insights clearly to senior non-technical stakeholders.
Bonus:
- Experience in media, publishing, or paywall ecosystems.
- Familiarity with CRM (BlueConic, SailThru), subscription platforms (Recurly), and experimentation tools.
- Exposure to AI-driven content analytics or recommendation systems.