Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and interpret econometric models to optimise marketing strategies for top brands.
- Company: Join a global consultancy renowned for media and marketing analytics.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Make a real impact on high-profile projects while developing your career in a supportive environment.
- Qualifications: Experience in Marketing Mix Modelling and strong communication skills are essential.
- Other info: Collaborative culture with opportunities for mentorship and peer learning.
The predicted salary is between 45000 - 60000 ÂŁ per year.
Marketing Mix Modelling ConsultantLocation: London – RemoteSalary: Up to £60,000 + benefitsStart Date: ASAP The CompanyA global consultancy specialising in media and marketing analytics, supporting some of the world’s biggest brands with data-driven decision-making. They provide advanced solutions in areas such as marketing mix modelling, brand equity, and geotesting, helping clients optimise spend and demonstrate return on investment. With offices across Europe and a collaborative culture, you’ll be joining a highly respected team that blends technical rigour with commercial impact.The RoleDue to sustained client demand and new account wins, the business is expanding its econometrics and marketing effectiveness team. They are seeking Marketing Mix Modelling Consultants at Analyst, Consultant, and Senior Consultant levels. These roles focus on building and interpreting econometric models, extracting insights, and presenting recommendations to clients.Unlike traditional data science roles, this work is less about heavy coding and more about applying statistical and econometric methods to real-world marketing challenges. You’ll work directly with client stakeholders, ensuring outputs are clear, actionable, and business-focused.This is an excellent opportunity for someone with strong MMM experience who wants to play a central role in delivering high-profile projects while developing their career in a structured, global consultancy environment.Key ResponsibilitiesBuild econometric models to measure the impact of marketing activity and identify drivers of performance.Interpret model outputs and translate them into clear, actionable recommendations for clients.Manage and analyse datasets, ensuring accuracy and reliability.Deliver presentations and reports to client stakeholders, demonstrating strong communication and storytelling skills.Support the design of geotests and other advanced measurement approaches.Work closely with senior team members on project scoping, delivery, and client management.Mentor junior analysts (at Consultant and Senior Consultant levels).Contribute to thought leadership, best practice development, and continuous improvement within the team.Skills & ExperienceEssential:Proven agency-side experience in Marketing Mix Modelling (MMM) – client-side only experience is not sufficient.Hands-on experience building and interpreting econometric models.Strong ability to communicate complex outputs to non-technical stakeholders.Proficiency with Excel and an understanding of statistical modelling approaches.Desirable:Familiarity with R (models run on Excel front-end with R syntax, though coding is not a core requirement).Broader exposure to analytics or econometrics beyond MMM (e.g., brand equity, testing, forecasting).Experience mentoring or line-managing junior team members.Levels & Salary BandsSenior Analyst (2 years’ experience) – up to £45,000Consultant (3–4 years’ experience) – up to £55,000Senior Consultant (4+ years’ experience) – £55,000–£60,000Team & CultureApproximately 70 staff across offices in London, Paris, and Madrid.Structured into sub-teams of 15–20 people, offering opportunities for peer learning and collaboration.Consultants report into an Account Director, with the potential to line manage graduates as part of career development.Supportive environment with a mix of technical specialists and client-facing consultants.Interview ProcessStage 1: 30-minute conversation with the Hiring Manager (experience, CV review, role overview).Stage 2: Dataset exercise and presentation (focus on both analysis and presentation style; the dataset includes subtle “easter eggs” to test attention to detail).Stage 3: Final interview with senior stakeholders.How to ApplySend your CV to Mohammed Buhariwala at Harnham or connect with me on LinkedIn to find out more.KeywordsMarketing Mix Modelling, MMM, Econometrics, Media Effectiveness, Data Science, Econometric Modelling, Analytics Consultant, Statistical Modelling, Marketing Analytics, Brand Equity, Geotesting, Media Analytics, Insight, SQL, R, London, Hybrid, Remote
Marketing Mix Modelling Consultant employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Mix Modelling Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially in marketing mix modelling. We recommend practising your storytelling skills to clearly communicate your insights and recommendations, as this is key in impressing potential employers.
✨Tip Number 3
Showcase your skills through real-world examples. When discussing your experience, focus on specific projects where you built econometric models or delivered impactful insights. We want to see how you’ve made a difference in previous roles!
✨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 Marketing Mix Modelling Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Marketing Mix Modelling Consultant role. Highlight your relevant experience in building econometric models and any client-facing work you've done. We want to see how your skills align with what we’re looking for!
Showcase Your Communication Skills: Since you'll be presenting insights to clients, it's crucial to demonstrate your ability to communicate complex data clearly. Use your application to show us how you can translate technical jargon into actionable recommendations that non-technical stakeholders can understand.
Be Detail-Oriented: Pay attention to the details in your application. Just like in our dataset exercises, we value precision and accuracy. Make sure there are no typos or formatting issues in your CV and cover letter – it reflects your attention to detail!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
How to prepare for a job interview at LinkedIn
✨Know Your Models Inside Out
Make sure you’re well-versed in the econometric models you’ve worked with. Be ready to discuss how you built them, the insights you derived, and how they impacted marketing decisions. This will show your depth of knowledge and ability to apply theory to real-world scenarios.
✨Master the Art of Storytelling
When presenting your findings, focus on translating complex data into clear, actionable recommendations. Practice explaining your insights in a way that non-technical stakeholders can easily grasp. This skill is crucial for making a strong impression during the interview.
✨Prepare for the Dataset Exercise
Expect a dataset exercise where attention to detail is key. Familiarise yourself with common pitfalls in data analysis and practice identifying subtle errors or 'easter eggs'. This will help you demonstrate your analytical skills and thoroughness during the interview.
✨Showcase Your Mentoring Experience
If you have experience mentoring junior analysts, be sure to highlight this. Discuss how you’ve supported their development and contributed to team success. This will reflect your leadership potential and fit within their collaborative culture.