TV Audience Measurement Manager: Impactful Analytics

TV Audience Measurement Manager: Impactful Analytics

Full-Time 50000 - 55000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the evolution of TV audience measurement systems and enhance data accuracy.
  • Company: Join Kantar Media Audiences, a leader in impactful analytics.
  • Benefits: Inclusive culture, career development opportunities, and a collaborative team environment.
  • Other info: Dynamic role with opportunities for professional growth and innovation.
  • Why this job: Make a real impact on how TV audiences are measured and understood.
  • Qualifications: Experience in TV audience research and strong analytical skills required.

The predicted salary is between 50000 - 55000 Β£ per year.

GBR - Kantar Media Audiences Limited seeks a hands-on Manager for TV Audience Measurement, responsible for evolving measurement systems across the UK. You will work with product and technology teams to improve data accuracy and insights.

Ideal candidates will have a strong background in TV audience research, advanced analytical and Excel skills, and a curiosity about technical systems. Join a collaborative environment that values inclusion and career development.

TV Audience Measurement Manager: Impactful Analytics employer: GBR - Kantar Media Audiences Limited

As a Benefits Manager at our company, you will be part of a dynamic and inclusive work culture that prioritises employee wellbeing and professional growth. We offer flexible working arrangements to accommodate diverse needs, alongside opportunities to lead impactful global initiatives that shape the employee experience across multiple regions. Join us in a role where your expertise will drive meaningful change and where your contributions are valued and recognised.

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Contact Details:

GBR - Kantar Media Audiences Limited Recruitment Team

We think you need these skills to ace TV Audience Measurement Manager: Impactful Analytics

TV Audience Research
Analytical Skills
Excel Skills
Data Accuracy
Technical Systems Knowledge
Collaboration
Curiosity