At a Glance
- Tasks: Analyse social and influencer campaigns, build measurement frameworks, and present insights.
- Company: Leading creative agency in London with a focus on innovation.
- Benefits: Competitive benefits including annual leave and healthcare.
- Why this job: Join a dynamic team and make an impact in the marketing world.
- Qualifications: Strong analytical skills and experience with SQL, Python, and Tableau.
- Other info: Hybrid work model offering flexibility and growth opportunities.
The predicted salary is between 35000 - 45000 £ per year.
A leading creative agency in London seeks a commercially minded Analyst to join their Marketing Sciences team. The role involves analyzing social and influencer campaigns, building measurement frameworks, and presenting insights to various stakeholders.
Ideal candidates will have:
- Strong analytical skills
- A background in statistical analysis
- Experience with tools like SQL, Python, and Tableau
This is a full-time hybrid position, offering competitive benefits including annual leave and healthcare.
Social & Influencer Marketing Analyst (Hybrid, London) employer: Ogilvy UK
Contact Detail:
Ogilvy UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Social & Influencer Marketing Analyst (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or attend local events. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those involving social and influencer campaigns. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL, Python, and Tableau skills. Be ready to discuss how you've used these tools in past projects to analyse data and present insights.
✨Tip Number 4
Don’t forget to 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 about their job search!
We think you need these skills to ace Social & Influencer Marketing Analyst (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your analytical skills and any relevant tools you've used, like SQL or Python, to show us you're the right fit for the role.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about social and influencer marketing and how your background makes you a great candidate. Keep it engaging and personal, so we can see your personality!
Showcase Your Analytical Skills: Since this role is all about analysis, be sure to include specific examples of how you've used data to drive decisions in past roles. We want to see your thought process and how you approach problem-solving!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us during the hiring process!
How to prepare for a job interview at Ogilvy UK
✨Know Your Numbers
As a Social & Influencer Marketing Analyst, you'll need to demonstrate your analytical prowess. Brush up on key metrics related to social campaigns and be ready to discuss how you've used data to drive decisions in past roles.
✨Showcase Your Tools
Familiarity with SQL, Python, and Tableau is crucial for this role. Prepare examples of how you've utilised these tools in previous projects. If you can, bring along a portfolio or case studies that highlight your skills.
✨Understand the Agency's Work
Research the agency's recent campaigns and be prepared to discuss them. This shows your genuine interest in the company and allows you to tailor your insights to their specific needs and style.
✨Prepare for Stakeholder Engagement
Since you'll be presenting insights to various stakeholders, practice explaining complex data in simple terms. Think about how you can make your findings relatable and actionable for different audiences.