At a Glance
- Tasks: Analyse audience data and craft compelling narratives that shape media strategies.
- Company: Leading media organisation with a focus on innovative audience insights.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Perfect for those passionate about media consumption and cultural trends.
- Why this job: Join a dynamic team and influence how audiences are understood through storytelling.
- Qualifications: Experience with audience datasets and strong analytical skills required.
The predicted salary is between 40000 - 40000 £ per year.
Representing a Leading Media Organisation. I’m working with a major media organisation to hire an Audience Measurement Analyst — someone who not only understands audience data, but can turn it into stories that shape thinking. This role is perfect for an analyst who loves exploring how people consume media, spotting patterns in behaviour, and transforming complex datasets into clear, engaging narratives that influence content, marketing and commercial strategy.
The Role: You’ll join a small, collaborative insight team responsible for analysing audience behaviour across audio and digital platforms. You’ll work with industry datasets such as RAJAR, MIDAS and TouchPoints — but the real impact comes from how you interpret them. This isn’t just reporting. It’s storytelling with data.
- Key Responsibilities:
- Analyse audience datasets to uncover listening patterns, platform shifts and demographic trends.
- Build dashboards in Power BI that bring audience behaviour to life.
- Craft clear, compelling narratives that explain why behaviour is changing, not just what the numbers say.
- Produce insight-led reports and presentations for internal and external stakeholders.
- Support thought-leadership pieces that help shape industry understanding of audio consumption.
- Translate complex data into simple, engaging stories that influence decision-making across content, marketing and commercial teams.
What We’re Looking For:
- Experience with audience or media measurement datasets (RAJAR, BARB, TouchPoints, Nielsen, MIDAS etc.).
- Strong analytical skills and confidence working with large datasets.
- A natural storyteller — someone who can turn data into meaning, not just charts.
- Familiarity with BI tools such as Power BI, Tableau or Looker.
- Curiosity about media consumption, cultural trends and audience behaviour.
- Strong communication skills and the ability to present insight with clarity and confidence.
Why This Role?
- Work with the UK’s most respected audience datasets.
- Join a team that values narrative, clarity and insight, not just reporting.
- Influence how the organisation understands its audiences.
- A brilliant step for someone who wants to deepen their expertise in audience measurement and data-led storytelling.
Audience Measurement Analyst in London employer: Charles Moore Associates
As a leading media organisation, we pride ourselves on fostering a dynamic and inclusive work culture that champions creativity and collaboration. Our Audience Measurement Analyst role offers not only competitive remuneration but also the opportunity to work with the UK's most respected audience datasets in a hybrid environment, allowing for flexibility and work-life balance. We are committed to employee growth, providing ample opportunities for professional development and the chance to influence key decisions that shape our understanding of audience behaviour.
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We think you need these skills to ace Audience Measurement Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Charles Moore Associates, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
