At a Glance
- Tasks: Shape TV audience measurement through data analysis and collaboration with tech teams.
- Company: Fifty5Blue, a dynamic company based in London.
- Benefits: Hybrid work model, career growth, and a collaborative environment.
- Other info: Join a forward-thinking team with exciting opportunities for professional development.
- Why this job: Make an impact on how the UK views TV through innovative data insights.
- Qualifications: Experience in data analysis and strong communication skills.
The predicted salary is between 45000 - 55000 £ per year.
Fifty5Blue, based in London, is seeking a Manager, TV Audience Measurement for Barb Audiences.
This full-time, permanent role sits in our hybrid London office, with a minimum of two days in the office each week.
You will help shape Barb’s measurement of TV viewing across the UK, blending data analysis with development coordination, testing outputs with product and tech teams, and presenting findings to stakeholders.
This role offers growth within a collaborative, data-driven environment.
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TV Audience Measurement Manager — Data & Insights in London employer: Fifty5Blue
Fifty5Blue is an exceptional employer that prioritises employee well-being and inclusivity, making it a fantastic place for those passionate about technology and customer service. With competitive benefits and a supportive work culture, employees have ample opportunities for growth and development while contributing to meaningful projects in the field of TV audience data collection. Join us in a dynamic environment where your skills will be valued and your contributions will make a real impact.
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We think this is how you could land TV Audience Measurement Manager — Data & Insights in London
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We think you need these skills to ace TV Audience Measurement Manager — Data & Insights 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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