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For Companies At a Glance
- Tasks: Dive into data analytics and audience planning while working on real-world projects.
- Company: Join a leading advertising firm with a focus on creativity and innovation.
- Benefits: Gain hands-on experience, mentorship, and a competitive salary during your placement.
- Why this job: Shape advertising strategies and make an impact in the marketing world.
- Qualifications: Analytical mindset, familiarity with Python and Excel, and strong communication skills.
- Other info: Collaborate with talented teams and enjoy a dynamic learning environment.
The predicted salary is between 24000 - 36000 £ per year.
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.
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.
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.
Data & Audience Planning Executive - Year in Industry in London employer: Global
Contact Detail:
Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Audience Planning Executive - Year in Industry in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially using Python and Power BI. This will give you an edge when discussing your experience.
✨Tip Number 3
Practice your presentation skills! You’ll need to explain complex data to non-technical folks, so rehearse how to make your insights clear and engaging.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data & Audience Planning Executive - Year in Industry in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your analytical skills and technical knowledge in Python, Excel, and Power BI. We want to see how you can interpret data and turn it into actionable insights, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that relate to audience planning and data analytics. This shows us you’re genuinely interested and have done your homework.
Keep It Clear and Concise: When writing your application, aim for clarity. Use straightforward language to explain your experiences and how they relate to the job. Remember, we love turning complex data into simple recommendations, so show us you can do the same!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Global
✨Know Your Data Tools
Make sure you brush up on your skills with Python, Excel, and Power BI before the interview. Be ready to discuss how you've used these tools in past projects or coursework, and think of specific examples where you turned data into actionable insights.
✨Show Off Your Analytical Skills
Prepare to demonstrate your analytical thinking by discussing how you've interpreted complex datasets. Think about a time when you identified trends or made recommendations based on data analysis, and be ready to explain your thought process clearly.
✨Practice Your Presentation Skills
Since you'll need to present findings to non-technical audiences, practice explaining technical concepts in simple terms. You might even want to prepare a mini-presentation on a data project you've worked on, showcasing your ability to communicate effectively.
✨Emphasise Collaboration
Highlight your experience working in teams, especially in cross-functional settings. Be prepared to share examples of how you've collaborated with others to achieve a common goal, as teamwork is key in this role.
