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For Companies At a Glance
- Tasks: Build and interpret econometric models to measure marketing effectiveness.
- Company: Leading global firm in media investment analysis with exciting growth plans.
- Benefits: Competitive salary, hybrid work model, and impactful projects.
- Why this job: Join a market leader and make a real difference for high-profile clients.
- Qualifications: Proven agency experience in Marketing Mix Modelling and strong econometric skills.
- Other info: Opportunity for career growth in a dynamic and supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Marketing Mix Modelling (MMM) Consultant
Up to £60,000
Hybrid – London (2x days per week)
A leading global firm in media investment analysis is expanding its team following recent client wins. We are seeking talented MMM Consultants to support our clients' continued growth and ambitious plans.
In this role, you will:
- Build and interpret econometric models to measure marketing effectiveness.
- Collect, manage, and analyse data to inform modelling approaches.
- Translate complex results into clear, actionable insights for clients.
Requirements:
- Proven agency experience in Marketing Mix Modelling (client-side only is not sufficient).
- Strong hands-on experience in building and interpreting econometric models.
- Coding knowledge is not required, though familiarity with R is advantageous.
This is an excellent opportunity to join a market leader and work on impactful projects with high-profile clients. Send your CV to riversteytler@harnhamrecruitment.com.
*Please note we cannot offer sponsorship for this position.
Marketing Mix Modelling (MMM) Consultant employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Mix Modelling (MMM) Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the marketing and data analysis fields. Attend industry events or webinars where you can meet potential employers and showcase your skills.
✨Tip Number 2
Prepare for interviews by brushing up on your econometric models. Be ready to discuss your past projects and how you've translated complex data into actionable insights. Practice makes perfect!
✨Tip Number 3
Don’t just apply through job boards; head over to our website and submit your application directly. It shows initiative and gives you a better chance of standing out from the crowd.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from your conversation to show your genuine interest.
We think you need these skills to ace Marketing Mix Modelling (MMM) Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Marketing Mix Modelling. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about MMM and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Analytical Skills: Since this role involves building and interpreting econometric models, make sure to mention any specific tools or methodologies you’ve used. We’re keen to see how you approach data analysis and problem-solving!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Models Inside Out
Make sure you can confidently discuss the econometric models you've built and interpreted in your previous roles. Be prepared to explain your thought process and the impact of your work on marketing effectiveness.
✨Data is Your Best Friend
Brush up on your data management and analysis skills. Be ready to talk about how you've collected and analysed data in past projects, and how that informed your modelling approaches. Real examples will make your answers stand out!
✨Translate Complexity into Simplicity
Practice explaining complex results in a way that's easy for clients to understand. Think of examples where you've successfully communicated insights to non-technical stakeholders, as this will show your ability to add value.
✨Familiarise Yourself with R
While coding knowledge isn't required, having some familiarity with R can give you an edge. If you have any experience with it, be sure to mention it during the interview, as it shows you're proactive and willing to learn.
