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For Companies At a Glance
- Tasks: Drive data-led insights and measurement strategies for global advertisers.
- Company: Join the largest social media company with over 2 billion users.
- Benefits: Enjoy a hybrid work model and inclusive culture.
- Why this job: Influence marketing strategies and collaborate with top-tier clients in a dynamic environment.
- Qualifications: Experience in research, analytics, and advertising effectiveness is essential.
- Other info: This role is open for a limited time; apply quickly!
The predicted salary is between 28800 - 48000 £ per year.
Job Description
Location: London, UK (Hybrid – 3 days onsite)
Contract duration: 11 months
Are you an analytics-driven problem solver with a passion for advertising effectiveness? We are looking for a Marketing Science Partner to drive data-led insights and measurement strategies for major global advertisers. This role is perfect for someone who thrives at the intersection of data, marketing, and business impact, with the ability to influence high-profile clients and internal teams.
Key Responsibilities:
- Develop and implement cross-platform measurement strategies to assess advertising effectiveness.
- Conduct in-depth ad performance analysis and studies to provide actionable insights.
- Lead client engagements and senior-level discussions, presenting findings that influence marketing strategies.
- Partner with internal teams to drive adoption of measurement methodologies and best practices.
- Provide feedback to Product, R&D, and Partnerships teams to enhance tools and solutions.
What You’ll Need:
- Proven experience in research, analytics, or ad effectiveness.
- Strong understanding of advertising and marketing measurement frameworks.
- Hands-on experience with statistical analysis, experimental design, and data modelling.
- Ability to translate complex data insights into clear recommendations for non-technical audiences.
- A strategic thinker who can work independently and collaborate cross-functionally.
**This role is open for a limited time. Next steps will be shared with shortlisted candidates ASAP. Due to the high volume of applicants, we may be unable to reply to each applicant individually. If you have not received a response within 48 hours of your application, please assume that you have not been selected for progression to the next stage of the hiring process.
Client Description
Our Client is the largest social media company in the world. They have substantial B2B and B2C advertising and media platforms, as well as a nonprofit initiative. With the mission of bringing people together, they now boast over 2 billion users, and are rapidly developing as they influence the world around us.
Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.
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Marketing Science Partner employer: Aquent
Contact Detail:
Aquent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Science Partner
✨Tip Number 1
Familiarise yourself with the latest trends in advertising effectiveness and measurement frameworks. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the marketing analytics field. Attend industry events or webinars where you can meet potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data to drive marketing strategies in past roles. Being able to articulate your experience with real-world applications will set you apart from other candidates.
✨Tip Number 4
Research the company’s current advertising initiatives and be ready to share your thoughts on their effectiveness. Showing that you’ve done your homework will demonstrate your genuine interest in the position and the company.
We think you need these skills to ace Marketing Science Partner
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Marketing Science Partner position. Tailor your application to highlight relevant experience in analytics, advertising effectiveness, and client engagement.
Highlight Relevant Experience: In your CV and cover letter, emphasise your proven experience in research and analytics. Provide specific examples of how you've developed measurement strategies or conducted ad performance analysis that led to actionable insights.
Showcase Your Skills: Demonstrate your hands-on experience with statistical analysis and data modelling. Use clear language to explain complex data insights, ensuring that even non-technical audiences can understand your recommendations.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also conveys your passion for advertising effectiveness. Mention your strategic thinking abilities and how you can influence marketing strategies through data-led insights.
How to prepare for a job interview at Aquent
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Marketing Science Partner. Familiarise yourself with cross-platform measurement strategies and be ready to discuss how you've applied these in past roles.
✨Showcase Your Analytical Skills
Prepare to demonstrate your experience in research and analytics. Bring examples of how you've conducted ad performance analysis and translated complex data into actionable insights for clients.
✨Prepare for Client Engagement Scenarios
Think about potential client scenarios you might face in this role. Be ready to discuss how you would lead senior-level discussions and influence marketing strategies based on your findings.
✨Highlight Collaboration Experience
This role requires working with various internal teams. Share examples of how you've successfully collaborated cross-functionally in the past, particularly in driving the adoption of measurement methodologies.
