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- Tasks: Lead advanced econometric modelling projects and mentor junior analysts.
- Company: Join a world-leading marketing consultancy blending creativity with data science.
- Benefits: Flexible hybrid work, generous benefits, and exposure to high-profile clients.
- Why this job: Be at the forefront of marketing analytics and influence brand strategies.
- Qualifications: Experience in Marketing Mix Modelling and strong technical skills in R.
- Other info: Collaborative environment with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Econometrician – Marketing Mix Modelling (MMM)
Location: London (Hybrid – 2 days in office)
Type: Permanent
Sector: Global Marketing Consultancy
Join a world-leading marketing consultancy that blends creative transformation with data science to drive measurable results for some of the most recognised brands globally. We’ve been exclusively instructed on this Project Lead (Modelling) opportunity within their high-impact Data Science & Modelling team – the engine behind millions in media spend analysis and marketing effectiveness.
Why This Role?
- Be at the cutting edge of marketing analytics, working on advanced MMM and econometric projects that influence brand strategy.
- Join a tight-knit, high-performing team of 80+ analysts who collaborate across 30+ UK and global clients.
- Work in a culture of experimentation and learning, with every project offering a chance to challenge the status quo.
As a Project Lead, you’ll oversee the end-to-end delivery of econometric modelling projects, mentor junior team members, and collaborate with internal stakeholders to ensure outputs are actionable, intuitive, and statistically sound.
You’ll partner with strategy and planning teams to decode business challenges, design custom modelling solutions (primarily MMM), and present insights that drive real-world marketing performance.
What You’ll Do
- Lead the delivery of advanced modelling projects (MMM, forecasting, brand equity analysis, etc.).
- Ensure statistical robustness, model integrity, and timely delivery.
- Translate complex outputs into clear, commercial recommendations for senior marketing stakeholders.
- Coach and support junior analysts, ensuring knowledge sharing and skill development.
- Uphold modelling best practices and contribute to internal process improvement.
- Support new business efforts through analytical thinking and data storytelling.
About You
- Solid, hands-on experience in Marketing Mix Modelling (MMM) and time series econometrics, preferably within the marketing/media industry.
- A degree in a quantitative field such as Economics, Statistics, Mathematics, or Data Science.
- Strong technical skills in R (or similar programming language), Excel, and PowerPoint.
- Experience managing client projects and leading teams of analysts or econometricians.
- Commercial acumen and the ability to align modelling outputs with marketing strategy.
- Familiarity with large, complex datasets and translating data into business value.
What’s in it for you?
- A collaborative, growth-driven environment with global resources and local agility.
- Exposure to high-profile clients and £600M+ in media spend across sectors.
- A flexible hybrid model (4 days in-office), offering the best of both worlds.
- A generous benefits package including health, retirement plans, time off, and more.
- Access to one of the most respected data science and analytics teams in the media world.
Please apply!
Econometrician - MMM employer: DATAHEAD
Contact Detail:
DATAHEAD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Econometrician - MMM
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your econometric skills. Be ready to discuss your experience with Marketing Mix Modelling and how it can drive marketing performance for brands.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your best work in econometrics and MMM. This will give potential employers a tangible sense of your capabilities and how you can contribute to their team.
✨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 Econometrician - MMM
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Econometrician. Highlight your experience with Marketing Mix Modelling and any relevant projects you've led. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about econometrics and how you can contribute to our team. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Since this role requires strong technical skills, make sure to highlight your proficiency in R, Excel, and PowerPoint. If you've worked with large datasets or have experience in time series econometrics, let us know!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at DATAHEAD
✨Know Your MMM Inside Out
Make sure you brush up on your Marketing Mix Modelling knowledge. Be ready to discuss specific projects you've worked on, the methodologies you used, and how your insights impacted marketing strategies. This will show your depth of understanding and practical experience.
✨Showcase Your Technical Skills
Since this role requires strong technical skills in R or similar programming languages, Excel, and PowerPoint, be prepared to demonstrate your proficiency. You might be asked to solve a problem on the spot, so practice coding challenges or data analysis tasks beforehand.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world business challenges. Think about how you would approach a project from start to finish, including how you'd ensure statistical robustness and translate complex outputs into actionable recommendations for stakeholders.
✨Emphasise Team Collaboration
This role involves mentoring junior analysts and collaborating with various teams. Share examples of how you've successfully led teams or projects in the past, highlighting your coaching style and how you foster a collaborative environment to achieve results.