Data Analyst, Insights & Analytics for Global Panels in Reading

Data Analyst, Insights & Analytics for Global Panels in Reading

Reading Full-Time 35000 - 42000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Transform data into actionable insights and collaborate with cross-functional teams.
  • Company: Join Kantar, a leader in insights and analytics.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on innovation and collaboration.
  • Why this job: Make a real impact by influencing business outcomes through data-driven decisions.
  • Qualifications: Strong analytical skills and experience with data modelling.

The predicted salary is between 35000 - 42000 £ per year.

Kantar is recruiting a Data Analyst to strengthen analytical foundations for panel operations, turning data into actionable insights.

You’ll work with data science, engineering and delivery teams to ensure models are robust, scalable and production-ready.

The role emphasizes turning models into practical, decision-ready outputs, with opportunities to improve processes and influence business outcomes across the organization.

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Data Analyst, Insights & Analytics for Global Panels in Reading employer: Kantar

Kantar is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and mentorship, all while enjoying the flexibility of a hybrid working model in a vibrant location. Join us to be part of a team that values your insights and empowers you to make a meaningful impact in brand strategy and growth.

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Contact Details:

Kantar Recruitment Team

We think you need these skills to ace Data Analyst, Insights & Analytics for Global Panels in Reading

Data Analysis
Analytical Skills
Collaboration with Data Science Teams
Collaboration with Engineering Teams
Model Development
Process Improvement
Decision-Making