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- Tasks: Drive measurement strategies and conduct ad effectiveness studies for global clients.
- Company: Join a leading firm shaping marketing analytics for top global advertisers.
- Benefits: Enjoy a hybrid work model, competitive pay, and opportunities for innovation.
- Why this job: Be at the forefront of marketing science, influencing major brands and strategies.
- Qualifications: Fluency in Turkish and a degree in a quantitative field required; experience in digital marketing preferred.
- Other info: This is a 10-month contract role based in London.
The predicted salary is between 72000 - 81000 £ per year.
Location: London, UK
Contract: 10 Months
Type: Hybrid (3 Days onsite)
Salary: £400 - £450 per day (PAYE)
We are looking for a Marketing Science Partner – a highly analytical and strategic thinker with a deep understanding of marketing measurement and analytics. This role will be key in shaping and driving our client’s measurement strategy with their largest global advertisers.
What You’ll Do:
- Champion and drive the adoption of robust measurement practices among global advertisers.
- Develop and influence cross-platform and cross-media measurement strategies tailored to global clients.
- Design and conduct both standardized and custom ad effectiveness studies and meta-analyses to assess marketing strategies across platforms and media.
- Promote and enable adoption of the company’s measurement methodologies, products, and best practices across industries and verticals.
- Present complex analytical findings in a clear, concise manner to senior client stakeholders and internal partners, influencing marketing strategies and decision-making.
- Collaborate closely with Product, R&D, and Partnerships teams to provide feedback and identify opportunities for innovation and new product development.
What We’re Looking For:
- Fluency in Turkish.
- Experience with Meta's advertising tools (Facebook, WhatsApp, Instagram).
- Proven experience in research, analytics, or advertising effectiveness, ideally within a digital marketing or media context.
- Bachelor’s degree in psychology, statistics, economics, behavioural/social sciences, or a related quantitative field.
- Solid understanding of digital advertising ecosystems, including branding, performance marketing, and measurement frameworks.
- Proficiency in statistical analysis techniques, including experimental design, causal inference, and/or modelling.
- Strong communication skills, capable of translating complex data into actionable insights for both technical and non-technical audiences.
- Experience collaborating cross-functionally and influencing stakeholders using data-driven recommendations.
- Highly organized, self-motivated, creative, and detail-oriented with a track record of delivering results independently.
Contact Detail:
Trust In SODA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Science Partner
✨Tip Number 1
Familiarise yourself with Meta's advertising tools, as they are crucial for this role. Consider taking online courses or certifications that focus on Facebook, Instagram, and WhatsApp advertising to demonstrate your expertise.
✨Tip Number 2
Brush up on your statistical analysis techniques, especially in experimental design and causal inference. Being able to discuss these concepts confidently during interviews will show your analytical prowess and suitability for the role.
✨Tip Number 3
Prepare to showcase your ability to present complex data clearly. Practice explaining your past projects or findings to a non-technical audience, as this skill is essential for influencing stakeholders effectively.
✨Tip Number 4
Network with professionals in the marketing analytics field, particularly those who have experience with global advertisers. Engaging in relevant discussions can provide insights into industry trends and may even lead to referrals.
We think you need these skills to ace Marketing Science Partner
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in marketing measurement and analytics. Emphasise any work with digital advertising tools, especially Meta's platforms, and showcase your analytical skills.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about marketing science and how your background aligns with the role. Mention specific projects or experiences that demonstrate your ability to influence marketing strategies through data.
Showcase Your Analytical Skills: Provide examples of how you've used statistical analysis techniques in previous roles. Discuss any ad effectiveness studies you've conducted and the impact they had on marketing decisions.
Prepare for Interviews: Be ready to discuss your experience in detail, particularly your understanding of digital advertising ecosystems. Prepare to explain complex analytical findings in a way that is accessible to both technical and non-technical audiences.
How to prepare for a job interview at Trust In SODA
✨Showcase Your Analytical Skills
As a Marketing Science Partner, you'll need to demonstrate your analytical prowess. Be prepared to discuss specific examples of how you've used data to influence marketing strategies in the past. Highlight any experience with statistical analysis techniques and how they contributed to successful campaigns.
✨Understand the Digital Advertising Ecosystem
Familiarise yourself with the digital advertising landscape, especially Meta's tools like Facebook and Instagram. During the interview, reference your knowledge of branding, performance marketing, and measurement frameworks to show that you can navigate this complex environment effectively.
✨Communicate Complex Ideas Simply
You'll be presenting findings to both technical and non-technical audiences, so practice explaining complex concepts in a clear and concise manner. Use examples from your previous work to illustrate how you've successfully communicated insights to stakeholders.
✨Demonstrate Cross-Functional Collaboration
This role requires collaboration with various teams, so be ready to share experiences where you've worked cross-functionally. Discuss how you influenced decisions using data-driven recommendations and how you managed to align different stakeholders towards a common goal.
