Data Product Analyst, Minute Media

• 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
• Not sure that you're 100% qualified but are up for the challenge? We want you to apply!

Desirable

• 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
• 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
• 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
• 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
• 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
• 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)