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Global

Data & Audience Planning Executive - Year in Industry

Reposted 14 Days Ago
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In-Office
Square Mile, Greater London, England
Internship
In-Office
Square Mile, Greater London, England
Internship
This placement involves audience planning, data analysis, and performance measurement using tools like Python, Excel, and Power BI, requiring collaboration and clear communication of insights.
The summary above was generated by AI
Accepting applications until: 23 January 2026Job Description

Your Role: Data and Audience Planning Executive

 

This 14-month placement offers hands-on experience in audience planning, data analytics, and advertising performance measurement. You’ll work on real-world projects that combine creativity, data science, and marketing strategy.

 

As a Data and Audience Planning Executive at Global, You will:

 

Key Responsibilities

  • Data Analysis & Interpretation (30%): Apply analytical thinking to interpret complex datasets and extract actionable insights.

  • Technical Proficiency (25%): Use Python, Excel, and Power BI for data processing, visualisation, and reporting.

  • Collaboration & Communication (20%): Work closely with cross-functional teams and present findings to non-technical audiences.

  • Data Visualisation (15%): Create dashboards, charts, and maps to support strategic decisions.

  • Adaptability (10%): Learn and apply new tools and methodologies as projects evolve.

 

What You’ll Love About This Role

  • Think Big: You’ll work on projects that influence advertising strategies across major media platforms.

  • Own It: Take responsibility for delivering insights that shape campaigns and business decisions.

  • Keep it Simple: Turn complex data into clear, actionable recommendations.

  • Better Together: Collaborate with talented teams across Commercial Insight, Data, and Outcomes.

  • undefined

What Success Looks Like

In your first few months, you’ll have:

  • Worked with Python, Excel, and Power BI to analyse and visualise campaign data.

  • Presented various complex data in clear, actionable recommendations.

  • Collaborated directly with cross-functional teams, contributing to strategic decisions and learning how data drives media planning.

What You’ll Need

  • Analytical Skills: Ability to interpret data and identify trends.

  • Technical Knowledge: Familiarity with Python, Excel, and data visualisation tools.

  • Problem-Solving: Creative approach to tackling marketing analytics challenges.

  • Communication: Confidence in presenting technical concepts to non-technical audiences.

Top Skills

Excel
Power BI
Python

Global London, England Office

30 Leicester Square, London, United Kingdom, WC2H 7LA

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