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- Tasks: Lead econometric projects, build models, and collaborate with teams to drive business decisions.
- Company: Join a dynamic team focused on marketing effectiveness and innovative data solutions.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of marketing while working in a collaborative and ambitious environment.
- Qualifications: 2+ years in econometric modelling, strong coding skills in R, Python, and Excel required.
- Other info: Mentorship opportunities available; stay updated with industry trends and best practices.
The predicted salary is between 40000 - 66000 £ per year.
We are looking for an experienced Marketing Mix Modeller with at least two years of hands-on experience and strong coding skills in R, Python and Excel. This is a chance to lead client projects and help shape the future of marketing effectiveness.
What You'll Do
- Manage end-to-end delivery of econometric projects
- Build and present models that drive business decisions
- Collaborate across analytics, data science and client teams
- Support innovation and product development
What We’re Looking For
- Proven expertise in econometric modelling and regression analysis
- Strong coding skills and a meticulous approach to data
- Strong communicator with the ability to present complex insights clearly
- Client-focused with a results-driven mindset
- Deep knowledge of econometric theory and practical application
- Proficient in data collection, cleansing, and analysis using Excel and coding tools
- Skilled in scenario planning and building actionable, robust models
- Organised and able to manage multiple projects independently
- Experienced in leading modelling projects from data prep to delivery
- Comfortable mentoring junior team members and collaborating cross-functionally
- Curious and innovative, with an interest in machine learning and new measurement approaches
- Keeps up to date with industry trends and contributes to best practice development
If you are passionate about data-driven decision making and want to grow in a high-impact role within a collaborative and ambitious team, we would love to hear from you. Apply now or reach out for a confidential chat.
Econometric Modeller employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Econometric Modeller
✨Tip Number 1
Familiarise yourself with the latest trends in econometric modelling and marketing mix analysis. This will not only help you during interviews but also demonstrate your passion for the field and your commitment to staying updated.
✨Tip Number 2
Network with professionals in the econometrics and data science community. Attend relevant workshops, webinars, or meetups to connect with others in the industry, which could lead to valuable insights and potential referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully applied econometric models. Be ready to explain your thought process, the challenges you faced, and how your work impacted business decisions.
✨Tip Number 4
Showcase your coding skills by working on personal projects or contributing to open-source initiatives. This practical experience can set you apart and provide concrete examples to discuss during your interview.
We think you need these skills to ace Econometric Modeller
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in econometric modelling and regression analysis. Include specific projects where you've used R, Python, and Excel, showcasing your coding skills and the impact of your work.
Craft a Compelling Cover Letter: In your cover letter, emphasise your client-focused mindset and results-driven approach. Mention your ability to present complex insights clearly and how you can contribute to the company's goals in marketing effectiveness.
Showcase Relevant Projects: Include examples of past projects where you managed end-to-end delivery of econometric models. Highlight your role in collaborating with analytics and data science teams, as well as any mentoring experience with junior team members.
Demonstrate Continuous Learning: Mention any recent courses or certifications related to econometrics, machine learning, or industry trends. This shows your commitment to staying updated and contributing to best practice development within the field.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Technical Skills
Make sure to highlight your coding skills in R, Python, and Excel during the interview. Prepare examples of past projects where you successfully applied these skills, as this will demonstrate your hands-on experience and technical expertise.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to build actionable models and conduct scenario planning. Be ready to discuss specific instances where you've used econometric modelling to drive business decisions, showcasing your problem-solving abilities.
✨Communicate Complex Insights Clearly
As a strong communicator, practice explaining complex econometric concepts in simple terms. This will be crucial when presenting your findings to clients or collaborating with cross-functional teams, so consider rehearsing with a friend or colleague.
✨Demonstrate Your Curiosity and Innovation
Show your passion for staying updated with industry trends and new measurement approaches. Discuss any recent developments in econometrics or machine learning that excite you, as this will reflect your commitment to continuous learning and innovation.
