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For Companies At a Glance
- Tasks: Dive into data analytics and audience planning while working on real-world marketing projects.
- Company: Join a leading advertising firm with a focus on creativity and innovation.
- Benefits: Gain hands-on experience, develop technical skills, and enjoy a collaborative work environment.
- Why this job: Make an impact on advertising strategies and learn from industry experts.
- Qualifications: Analytical mindset, familiarity with Python and Excel, and strong communication skills.
- Other info: 14-month placement with excellent opportunities for growth and learning.
The predicted salary is between 20000 - 30000 £ 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 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
✨Tip Number 1
Get your hands dirty with data! Before you even step into an interview, play around with Python, Excel, and Power BI. Build a small project or two that showcases your skills. This way, when they ask about your experience, you can share real examples that demonstrate your analytical prowess.
✨Tip Number 2
Practice makes perfect! Set up mock interviews with friends or mentors. Focus on explaining complex data insights in simple terms. This will help you nail the communication aspect of the role, making it easier to present your findings to non-technical audiences during the actual interview.
✨Tip Number 3
Network like a pro! Connect with professionals in the industry through LinkedIn or local meetups. Ask them about their experiences and any tips they might have for landing a role like this. You never know, a friendly chat could lead to a referral or insider info about the company!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged. So, get your application in and show us what you’ve got!
We think you need these skills to ace Data & Audience Planning Executive - Year in Industry
Some tips for your application 🫡
Show Off Your Analytical Skills: Make sure to highlight your analytical skills in your application. We want to see how you interpret data and identify trends, so share any relevant experiences or projects that showcase this ability.
Get Technical: Don’t shy away from mentioning your technical knowledge! If you’ve worked with Python, Excel, or Power BI, let us know. We love seeing candidates who are comfortable with these tools and can use them for data processing and visualisation.
Keep It Clear and Simple: When writing your application, remember to keep it clear and straightforward. We appreciate candidates who can turn complex data into actionable recommendations, so try to demonstrate this skill in your writing.
Apply Through Our Website: Finally, make sure to apply through our website! It’s the best way for us to receive your application 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.
✨Showcase Your Analytical Thinking
Prepare to demonstrate your analytical skills by discussing how you approach data interpretation. Think about a time when you identified a trend or solved a problem using data. This will show your potential employer that you can think critically and creatively about data challenges.
✨Practice Your Presentation Skills
Since you'll need to present complex data to non-technical audiences, practice explaining your findings in simple terms. You could even do a mock presentation for friends or family to get comfortable with breaking down technical concepts into digestible pieces.
✨Emphasise Collaboration
Be prepared to talk about your experience working in teams. Highlight any collaborative projects you've been involved in, especially those that required you to communicate effectively with people from different backgrounds. This will show that you can work well in cross-functional teams, which is key for this role.
