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For Companies At a Glance
- Tasks: Analyse audience behaviour and optimise engagement strategies for high-traffic media platforms.
- Company: Join a global media organisation with a strong presence in London.
- Benefits: Up to £55,000 salary, flexible working, and opportunities for professional growth.
- Why this job: Shape audience strategies and make a real impact in a dynamic media environment.
- Qualifications: Strong SQL skills and experience with large datasets required.
- Other info: Collaborative team culture with room for influence and innovation.
The predicted salary is between 44000 - 66000 £ per year.
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
Product Data Analyst in England employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Analyst in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Understand their audience engagement strategies and think about how your skills as a Product Data Analyst can contribute to their goals.
✨Tip Number 3
Practice your data storytelling! Be ready to explain complex analyses in simple terms. This will help you communicate effectively with stakeholders who may not have a technical background.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Product Data Analyst in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Product Data Analyst role. Highlight your experience with large-scale datasets and SQL skills, as these are key for us. Don’t just list your past jobs; show how they relate to what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about audience engagement and monetisation strategies. Let us know how your skills can help shape our analytics approach in the media landscape.
Showcase Your Analytical Skills: In your application, give examples of how you've used data to drive decisions in previous roles. Whether it's A/B testing or audience analysis, we want to see how you’ve made an impact through your analytical prowess.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
As a Product Data Analyst, you'll be working with large-scale datasets. Make sure you brush up on your SQL skills and be ready to discuss specific examples of how you've used data to drive decisions in the past. Prepare to explain complex queries you've written and the insights they provided.
✨Understand the Business Context
Familiarise yourself with the media and publishing landscape, especially how audience engagement and monetisation strategies work. Be prepared to discuss how analytics can influence content strategies and user interactions, particularly around registration walls and A/B testing.
✨Showcase Your Stakeholder Management Skills
This role requires strong stakeholder management abilities. Think of examples where you've successfully communicated insights to non-technical stakeholders. Highlight how you've managed expectations and advocated for data-led decision making in previous roles.
✨Be Ready for Practical Scenarios
Expect to face practical scenarios or case studies during the interview. Prepare to analyse a hypothetical dataset or discuss how you would approach a specific problem related to audience behaviour or engagement. This will demonstrate your analytical thinking and problem-solving skills.
