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- Tasks: Lead marketing mix modelling projects and present insights to clients.
- Company: Join an award-winning analytics team in a collaborative, data-driven environment.
- Benefits: Enjoy hybrid work options and opportunities for professional development.
- Why this job: Be at the forefront of marketing measurement innovation while mentoring junior analysts.
- Qualifications: 2+ years in econometric modelling; skilled in Python, R, or SQL.
- Other info: Opportunity to shape new data science products and work with global teams.
The predicted salary is between 39000 - 61000 £ per year.
Are you ready to take the lead in cutting-edge marketing measurement? Join a highly respected and award-winning analytics team as a Lead Econometrician.
We're seeking a talented individual with at least 2 years of hands-on experience in marketing mix modelling who’s ready to step into a leadership role—owning client relationships, leading delivery, and pushing innovation in media measurement. This is a rare opportunity to be part of a collaborative and data-driven environment where you’ll work alongside talented analysts, data scientists, and engineers across a global network.
What You'll Do:- Lead delivery of MMM projects from briefing to presentation, ensuring actionable insights.
- Confidently present complex analysis to clients and internal stakeholders.
- Use your coding knowledge to streamline processes and develop new modelling solutions.
- Manage stakeholder relationships and act as the primary point of contact for key clients.
- Collaborate with internal Centres of Excellence to deliver best-in-class econometrics.
- Play a role in shaping new data science products that drive agency innovation.
- Mentor junior analysts and contribute to the team’s ongoing learning and development.
- 2+ years of experience in marketing mix/econometric modelling.
- Strong grasp of statistical modelling theory and hands-on delivery.
- Confident communicator and compelling storyteller with data.
- Skilled in Python, R, or SQL for data analysis and modelling (or keen to develop further).
- Experience with scenario planning and transforming complex data into client-ready outputs.
- Familiar with working in or alongside analytics or media environments.
- Experience working with large datasets or cloud platforms (e.g. GCP/Big Query).
- Exposure to advanced analytics approaches such as Bayesian or non-regression models.
- Familiarity with marketing measurement tools or platforms (e.g. Robyn, Meridian).
- Data viz skills in Power BI, Tableau, or Data Studio.
- A background in econometrics, statistics, or a related quantitative field.
Econometric Modelling Lead employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Econometric Modelling Lead
✨Tip Number 1
Network with professionals in the econometrics and data science fields. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends in marketing mix modelling.
✨Tip Number 2
Showcase your leadership skills by participating in group projects or initiatives where you can take charge. Highlight any experience mentoring others or leading teams, as this will be crucial for the role.
✨Tip Number 3
Familiarise yourself with the specific tools and platforms mentioned in the job description, such as Robyn or Meridian. Having hands-on experience or knowledge of these tools can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your past projects in detail, especially those involving marketing mix modelling. Be ready to explain your thought process, the challenges you faced, and how you delivered actionable insights to clients.
We think you need these skills to ace Econometric Modelling Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in marketing mix modelling and econometrics. Use specific examples of projects you've led or contributed to, showcasing your skills in Python, R, or SQL.
Craft a Compelling Cover Letter: In your cover letter, emphasise your leadership experience and ability to manage client relationships. Mention your passion for data-driven insights and how you can contribute to the team's innovation in media measurement.
Showcase Your Communication Skills: Since the role requires presenting complex analyses, include examples in your application that demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
Highlight Relevant Projects: Discuss any relevant projects where you've used statistical modelling theory or worked with large datasets. If you've had exposure to advanced analytics approaches or marketing measurement tools, make sure to mention these as well.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Experience
Be prepared to discuss your hands-on experience in marketing mix modelling. Highlight specific projects you've led or contributed to, focusing on the outcomes and insights generated.
✨Communicate Clearly
As a Lead Econometrician, you'll need to present complex analyses to clients. Practice explaining your work in simple terms, ensuring you can convey your findings effectively to both technical and non-technical audiences.
✨Demonstrate Coding Skills
Since coding knowledge is essential for this role, be ready to discuss your proficiency in Python, R, or SQL. Consider preparing examples of how you've used these languages to streamline processes or develop modelling solutions.
✨Prepare for Stakeholder Management
You'll be managing client relationships, so think about your approach to stakeholder management. Prepare examples of how you've successfully navigated client interactions and maintained strong relationships in previous roles.
