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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 where your insights drive real impact.
- Qualifications: Two years of experience in econometric modelling with strong coding skills in R and Python.
- Other info: Mentorship opportunities available; stay updated with industry trends.
The predicted salary is between 42000 - 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
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 industry, especially those who work in econometrics or data science. Attend relevant meetups or webinars to connect with potential colleagues and learn about their experiences.
✨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 contributions led to impactful 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 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 multiple projects. Mention your experience in leading modelling projects and how you can contribute to the company's goals.
Showcase Communication Skills: Since strong communication is key for this role, provide examples of how you've presented complex insights clearly in past roles. This could be through presentations, reports, or client interactions.
Highlight Innovation and Curiosity: Mention any experience you have with machine learning or new measurement approaches. Discuss how you stay updated with industry trends and how you’ve contributed to best practice development in previous positions.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your coding skills in R, Python, and Excel. Bring examples of past projects where you successfully applied these skills, and be ready to explain your thought process and the outcomes.
✨Demonstrate Your Econometric Knowledge
Brush up on econometric theory and practical applications. Be ready to discuss specific models you've built and how they influenced business decisions, showcasing your expertise in regression analysis.
✨Communicate Clearly
Practice explaining complex insights in a simple manner. During the interview, focus on how you can present data-driven findings to clients and stakeholders, emphasising your strong communication skills.
✨Highlight Your Project Management Experience
Discuss your experience managing multiple projects independently. Share examples of how you've led modelling projects from data preparation to delivery, and how you’ve collaborated with cross-functional teams.
