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- Tasks: Analyse data to enhance subscription and audience engagement across digital platforms.
- Company: Leading media organisation with a proprietary technology platform.
- Benefits: £50K salary, hybrid working, and great career development opportunities.
- Why this job: Join a dynamic team and turn insights into impactful product improvements.
- Qualifications: Experience in data analysis, AB testing, and strong SQL skills required.
- Other info: Collaborative environment with offices in New York, London, and Tokyo.
The predicted salary is between 36000 - 60000 £ per year.
A media organisation which owns and operates a proprietary technology platform which enables the creation, distribution and monetisation of digital content experiences. They own several leading brands and have offices in New York, London and Tokyo.
They are looking to recruit a Product Analyst to join their Owned and Operated team to work on the analysis of advancing subscription, engagement and audience analytics across their digital platforms. This will include enhancing paywall and registration performance, utilising AI to deliver a more local and personalised experience, supporting AB testing and delivering insights that drive audience growth, monetisation and retention. The Product Analyst will work closely with product, growth and editorial and will connect data with strategy - turning insights into product and content improvements that scale across the portfolio.
The Product Analyst will be required to contribute to the analytics roadmap, design, implement and evaluate AB tests to enhance aspects of user experience. Lead analytics on first-party data initiatives, collaborate on forecasting for 2026 and build infrastructures to measure LTV by acquisition source. You will also develop deep-dive reporting and insights on content consumption and support evaluation of AI-driven metadata features. Develop, maintain and evolve self-service dashboards across Tableau/Looker for O&O teams - covering traffic, content, SEO and newsletter performance.
What you’ll need to succeed:
- Experience of working in a Data Analysis/Product Analyst capacity
- Experience of AB Testing
- Strong experience in SQL - ideally with BigQuery
- Knowledge of GA4 (Google Analytics) or Adobe Analytics
- Familiarity with subscription and user lifecycle metrics - CAC, churn, CLV, LTV, retention cohorts
- Experience building automated dashboards and data pipelines
- Ability to translate complex data into clear insights and recommendations for non-technical teams
- Experience gained in media, e-commerce or subscription businesses
What you’ll get in return:
- £50K benefits
- Hybrid working - 2-3 days in the office
If you’re interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Product/ Data Analyst in London employer: HAYS Specialist Recruitment
Contact Detail:
HAYS Specialist Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product/ Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can lead to insider info and even referrals that could land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data analysis capabilities. This is a great way to demonstrate your expertise in SQL, AB testing, and dashboard creation to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to product analytics and data interpretation. Practice explaining complex data insights in simple terms, as you'll need to connect with non-technical teams.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Product/ Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Product/Data Analyst role. Highlight your experience with data analysis, AB testing, and any relevant tools like SQL or Google Analytics. We want to see how your skills match 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 this role and how your background in media or subscription businesses makes you a great fit. Let us know how you can contribute to our team!
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Mention specific projects where you've turned complex data into actionable insights. We love seeing how you’ve made an impact in previous roles!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just click 'apply now'!
How to prepare for a job interview at HAYS Specialist Recruitment
✨Know Your Data Tools
Make sure you're well-versed in SQL, especially with BigQuery, as this role heavily relies on it. Brush up on your knowledge of GA4 or Adobe Analytics too, as being able to discuss these tools confidently will show you’re ready to hit the ground running.
✨Showcase Your AB Testing Experience
Prepare to discuss specific examples of AB testing you've conducted. Be ready to explain your approach, the metrics you used to measure success, and how your findings influenced product decisions. This will demonstrate your hands-on experience and analytical mindset.
✨Connect Data to Strategy
Think about how you've turned data insights into actionable strategies in previous roles. Be prepared to share stories that illustrate your ability to connect analytics with product improvements, especially in a media or subscription context.
✨Prepare Insightful Questions
Have a few thoughtful questions ready about their analytics roadmap or how they envision using AI for personalisation. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
