PRODUCT DATA ANALYST

ABOUT THE BUSINESS This is a large, global media organisation operating across North America, Europe, and the Middle East, with a strong presence in London. The business combines proprietary technology with large-scale media and publishing operations, reaching millions of users every month across multiple platforms. The organisation operates across two core areas: Technology, providing the infrastructure required to run high-traffic content platforms, including content management systems and advertising technology. Media & Publishing, which focuses on producing and monetising premium sports and fan-focused content across a portfolio of major digital brands. This role sits firmly within the Media & Publishing arm, supporting high-traffic websites and content networks monetised primarily through advertising, sponsorship, and emerging subscription models. As the business continues to explore registration walls, premium content, and audience monetisation strategies, analytics plays a central role in shaping commercial and product decisions. THE TEAM You'll join a close-knit analytics and data team of around 10 people working across publishing, audience, and technology initiatives. The team includes analysts, data engineering, and data science, working closely with product, editorial, and commercial stakeholders. The environment is fast-paced, collaborative, and still evolving, offering scope to influence how analytics is embedded across the publishing organisation. THE ROLE This Product Data Analyst role is focused on understanding audience behaviour, engagement, and monetisation across large-scale media platforms. You'll play a key role in shaping how users interact with content - from registration walls and recirculation strategies to experimentation, forecasting, and evaluating new initiatives such as AI-driven content enhancements. The role combines hands-on analysis with stakeholder management, requiring someone who can confidently challenge assumptions, manage expectations, and translate data into clear commercial recommendations. KEY RESPONSIBILITIES Audience & Engagement Analytics Analyse and optimise registration walls, including their impact on revenue, engagement, and audience understanding Develop approaches to capturing user interests and preferences to improve relevance and personalisation Own recirculation analysis, understanding how users move through content once on site Experimentation & Optimisation Design and analyse A/B tests across navigation, banners, "what to read next", and internal linking Evaluate what drives deeper engagement, longer dwell time, and repeat visits Partner with product and editorial teams to embed learnings into site strategy Commercial & Strategic Analytics Support advertising and monetisation decisions through audience and behavioural insights Contribute to forecasting website traffic and audience growth Evaluate the impact of new initiatives, including AI-driven features such as content summarisation Cross-Business Support Work flexibly across different areas of the publishing organisation as priorities evolve Communicate insights clearly to stakeholders with varying levels of data literacy Push back where necessary, managing expectations and advocating for data-led decision making TECH STACK Cloud-based data warehouse (GCP) SQL - strong, hands-on capability required Google Analytics for tagging and behavioural analysis Python (nice to have, not essential) SKILLS & EXPERIENCE REQUIRED Essential Strong experience working with large-scale datasets Advanced SQL skills, including writing complex queries Experience analysing digital audience behaviour and engagement Confidence working in fast-moving environments with evolving priorities Strong stakeholder management skills, with the ability to challenge and influence Nice to Have Background in media, publishing, or agency environments Experience with experimentation and A/B testing Exposure to forecasting or advanced analytical techniques Experience using Python for analysis