At a Glance
- Tasks: Lead exciting marketing mix modelling projects and present insights to clients.
- Company: Join an award-winning analytics team known for innovation and collaboration.
- Benefits: Enjoy a hybrid work model and opportunities for professional growth.
- Why this job: Be part of a data-driven culture that values creativity and mentorship.
- Qualifications: 2+ years in econometric modelling with strong coding skills in Python, R, or SQL.
- Other info: Bonus points for experience with large datasets and advanced analytics tools.
The predicted salary is between 39000 - 46000 £ 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.
What You Bring:
- 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.
Bonus Points For:
- 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 taking on projects that involve mentoring or guiding others. Highlight any experience where you've led a team or project, as this will demonstrate your readiness for a leadership 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 coding skills in Python, R, or SQL during interviews. Be ready to provide examples of how you've used these languages to solve complex problems or streamline processes in previous roles.
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, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your experience in leading projects and managing client relationships.
Showcase Your Communication Skills: Since the role requires confident communication, consider including examples of how you've presented complex analyses to clients or stakeholders. Highlight your storytelling ability with data.
Highlight Leadership Experience: If you have experience mentoring junior analysts or leading teams, make sure to include this in your application. Emphasise your ability to drive innovation and collaborate within a team.
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, the methodologies you used, and the outcomes achieved. This will demonstrate your capability to take on a leadership role.
✨Communicate Complex Ideas Simply
As a Lead Econometrician, you'll need to present complex analyses to clients. Practice explaining your work in simple terms, focusing on actionable insights. This will show your ability to communicate effectively with stakeholders.
✨Demonstrate Coding Skills
Since coding knowledge is essential for this role, be ready to discuss your experience with Python, R, or SQL. You might even want to prepare examples of how you've used these languages to streamline processes or develop modelling solutions.
✨Prepare for Scenario Planning Questions
Expect questions about scenario planning and transforming complex data into client-ready outputs. Think of examples where you've successfully navigated these challenges, as it will highlight your problem-solving skills and analytical thinking.