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- Tasks: Lead innovative marketing measurement projects and collaborate with clients to deliver impactful solutions.
- Company: Join a fast-growing agency at the forefront of marketing effectiveness and measurement.
- Benefits: Enjoy a competitive salary of up to £55,000 plus exciting benefits and perks.
- Why this job: Be part of a dynamic team that values innovation and client relationships in a rapidly evolving field.
- Qualifications: Experience in media agencies, proficiency in data analysis, and strong stakeholder management skills required.
- Other info: Ideal for those passionate about data-driven marketing and eager to make a real impact.
The predicted salary is between 44000 - 66000 £ per year.
Are you passionate about shaping the future of marketing measurement? Do you thrive in a dynamic environment where innovation is key? We are hiring for a Consultant for a fast-growing agency who will take charge of delivering cutting-edge measurement solutions to clients. The role is focussed on the client relationship / presenting side of marketing effectiveness and MMM projects. Also includes digital attribution, effectiveness methodologies and geo-testing.
Salary: up to £55,000 + benefits
Key Responsibilities:
- Collaborate with clients to design and implement measurement solutions, leveraging best practices from media measurement and technical perspectives.
- Liaise with clients, directing projects from a modelling and mathematical standpoint, while maintaining a strong understanding of media dynamics.
- Work closely with Data Scientists to bridge the gap between client needs and analytical solutions, ensuring high-quality outputs presented in a client-friendly manner.
Experience:
- Experience in a similar role within a Media Agency environment, delivering MMM and attribution model projects.
- Proficiency in Bayesian and linear regression approaches; familiarity with other machine learning techniques is advantageous.
- Extensive experience in data mining and analysis, including designing methodologies to address ad-hoc queries.
- Strong stakeholder management skills with exposure to client-facing environments.
- Proven ability to collaborate effectively within multidisciplinary teams across various workstreams and projects.
Skills:
- Knowledge of Market Mix Modelling and Digital and TV attribution.
- Excellent data visualization and storytelling capabilities.
- Proficiency in coding, preferably in R or Python; experience with R Studio or Jupyter notebooks is a plus.
- Solid proficiency in Excel and PowerPoint.
Marketing Effectiveness Consultant employer: Silverdrum
Contact Detail:
Silverdrum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Effectiveness Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in marketing measurement and methodologies. Being well-versed in Market Mix Modelling and digital attribution will not only boost your confidence but also impress potential employers during discussions.
✨Tip Number 2
Network with professionals in the media agency space. Attend industry events or webinars where you can meet people who are already working in similar roles. This can lead to valuable insights and potentially even referrals for job openings.
✨Tip Number 3
Brush up on your data visualisation skills. Since the role requires presenting complex data in a client-friendly manner, being able to create compelling visuals will set you apart from other candidates.
✨Tip Number 4
Showcase your coding skills, particularly in R or Python, during interviews. If you have experience with tools like R Studio or Jupyter notebooks, be prepared to discuss how you've used them in past projects to solve real-world problems.
We think you need these skills to ace Marketing Effectiveness Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in marketing measurement, particularly in Media Agency environments. Emphasise your skills in Market Mix Modelling and digital attribution, as well as any coding proficiency in R or Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for marketing measurement and innovation. Discuss specific projects where you've successfully collaborated with clients and delivered measurement solutions, showcasing your stakeholder management skills.
Showcase Your Technical Skills: Include examples of your experience with Bayesian and linear regression approaches, as well as any familiarity with machine learning techniques. Highlight your data visualisation and storytelling capabilities to demonstrate how you can present complex data in a client-friendly manner.
Prepare for the Interview: Research common interview questions related to marketing effectiveness and be ready to discuss your previous projects in detail. Prepare to explain how you bridge the gap between client needs and analytical solutions, and think of examples that showcase your collaborative work within multidisciplinary teams.
How to prepare for a job interview at Silverdrum
✨Showcase Your Client Relationship Skills
Since the role focuses heavily on client relationships, be prepared to discuss your experience in managing client expectations and delivering results. Share specific examples of how you've successfully collaborated with clients in the past.
✨Demonstrate Your Technical Knowledge
Brush up on your understanding of Market Mix Modelling and digital attribution techniques. Be ready to explain complex concepts in a simple way, as you'll need to present these ideas to clients who may not have a technical background.
✨Highlight Your Data Analysis Experience
Prepare to discuss your proficiency in data mining and analysis. Bring examples of methodologies you've designed to tackle ad-hoc queries, and be ready to talk about how you’ve used tools like R or Python in your previous roles.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to work within multidisciplinary teams. Think of situations where you had to bridge gaps between client needs and analytical solutions, and how you approached those challenges.
