Senior Analytics Lead: Perception & Influence Modeling

Senior Analytics Lead: Perception & Influence Modeling

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
CNN

At a Glance

  • Tasks: Lead advanced analytics and statistical modelling to deliver impactful insights.
  • Company: Join CNN, a leader in media and innovation.
  • Benefits: Enjoy a hybrid work model, competitive salary, and professional growth opportunities.
  • Other info: Dynamic role with opportunities to influence key business decisions.
  • Why this job: Make a real difference in audience understanding with cutting-edge analytics.
  • Qualifications: Expertise in regression, multivariate techniques, and strong collaboration skills.

The predicted salary is between 60000 - 80000 Β£ per year.

CNN is seeking an Advanced Analytics Lead to spearhead the development of advanced analytics and statistical modeling in the Audiences & Data portfolio. This senior role demands a hands-on approach and expertise in regression and multivariate techniques. The successful candidate will partner with various teams to deliver insights that are robust and commercially applicable. A hybrid working model is offered, combining remote and office work.

Senior Analytics Lead: Perception & Influence Modeling employer: CNN

At CNN International Commercial (CNNIC), we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. Our hybrid working model allows for flexibility while providing employees with the opportunity to engage directly with senior leadership and influence strategic initiatives in a fast-paced global media environment. With a strong emphasis on professional development and collaboration, we empower our team members to grow their skills and make a meaningful impact across international markets.

CNN

Contact Details:

CNN Recruitment Team

We think you need these skills to ace Senior Analytics Lead: Perception & Influence Modeling

Advanced Analytics
Statistical Modeling
Regression Techniques
Multivariate Techniques
Data Insights
Commercial Application
Collaboration Skills