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- Tasks: Lead econometric projects and build models that influence business decisions.
- Company: Join a dynamic team focused on marketing effectiveness and innovation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a collaborative environment that values data-driven insights and creativity.
- Qualifications: Two years of experience in econometric modelling with strong coding skills in R, Python, and Excel.
- Other info: Mentorship opportunities available; stay updated with industry trends.
The predicted salary is between 43000 - 77000 £ 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
Network with professionals in the econometrics and marketing fields. Attend industry events, webinars, or local meetups to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what companies like us are looking for in candidates.
✨Tip Number 2
Showcase your coding skills by working on personal projects or contributing to open-source initiatives. This not only demonstrates your proficiency in R and Python but also highlights your ability to apply econometric theory practically. We love seeing candidates who take initiative!
✨Tip Number 3
Prepare to discuss specific examples of past projects where you've successfully managed end-to-end econometric modelling. Be ready to explain your approach to data collection, cleansing, and analysis, as well as how your models influenced business decisions. This will show us your hands-on experience.
✨Tip Number 4
Stay updated on the latest developments in econometrics and machine learning. Follow relevant blogs, podcasts, or research papers to keep your knowledge fresh. Being able to discuss recent advancements during your interview will demonstrate your passion and commitment to the field.
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 results-driven mindset.
Craft a Compelling Cover Letter: In your cover letter, emphasise your passion for data-driven decision making and your ability to manage end-to-end econometric projects. Mention your experience in leading projects and collaborating with cross-functional teams.
Showcase Your Communication Skills: Since strong communication is key for this role, provide examples of how you've presented complex insights clearly to clients or stakeholders. This could be through previous presentations or reports you've created.
Highlight Continuous Learning: Mention any recent courses, certifications, or self-study related to econometrics, machine learning, or industry trends. This shows your commitment to staying updated and contributing to best practices in 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.
✨Communicate Complex Insights Clearly
As a Marketing Mix Modeller, you'll need to present complex data insights to clients. Practice explaining your previous work in simple terms, focusing on how your models drove business decisions. This will show your strong communication skills and client-focused mindset.
✨Demonstrate Project Management Experience
Be ready to discuss your experience managing end-to-end econometric projects. Highlight specific instances where you organised multiple projects independently, showcasing your ability to deliver results under pressure.
✨Stay Updated on Industry Trends
Show your curiosity and innovation by discussing recent trends in econometrics or machine learning that excite you. This will reflect your commitment to continuous learning and your interest in contributing to best practices within the field.
