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Product Data Analyst
Harnham
- London, England, United Kingdom
- London, England, United Kingdom
À propos
Up to £55,000 + benefits
LONDON – HYBRID (2 DAYS A WEEK IN OFFICE)
Note: you must be a UK resident with full right to work
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
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
Strong experience working with large‑scale datasets
Advanced SQL skills, including writing complex queries
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
WHY APPLY?
Join a global media organisation with massive audience reach
Work on high‑traffic, well‑known publishing platforms
Play a central role in shaping audience and monetisation strategy
Enjoy flexible working with genuine autonomy
Be part of a collaborative, growing analytics function with room to influence
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Compétences linguistiques
- English
Avis aux utilisateurs
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