ThisIsGlobal

Data & Audience Planning Executive - Year in Industry

Leicester Square - London Full time

Accepting applications until: 

23 January 2026

Job 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.

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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.