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For Companies At a Glance
- Tasks: Lead econometric projects, build models, and present insights to drive business decisions.
- Company: Join a dynamic team focused on marketing effectiveness and innovation in data analytics.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a collaborative culture that values data-driven decision making and innovation.
- Qualifications: Two years of experience in econometric modelling with strong coding skills in R, Python, and Excel.
- Other info: Opportunity to mentor juniors and 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.
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 potential colleagues and learn about industry best practices that could give you an edge.
✨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 be a great talking point in interviews and demonstrates your hands-on abilities in R and Python.
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 coding skills in R, Python, and Excel. Use specific examples from your past work that demonstrate your ability to manage projects and present complex insights.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision making and how your skills align with the role. Mention your experience in leading projects and collaborating with teams, as well as your interest in machine learning and industry trends.
Showcase Your Projects: If possible, include links or references to previous econometric projects you have worked on. This could be through a portfolio or case studies that illustrate your ability to build and present models that drive business decisions.
Prepare for Interviews: Be ready to discuss your approach to econometric modelling and regression analysis during interviews. Prepare to explain complex concepts clearly and demonstrate your client-focused mindset and results-driven approach.
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 tools, and be ready to demonstrate your problem-solving approach during the interview.
✨Communicate Complex Insights Clearly
Practice explaining complex econometric concepts in simple terms. The ability to communicate findings effectively is crucial, so consider preparing a few key insights from your previous work that you can present clearly.
✨Demonstrate Project Management Experience
Highlight your experience managing end-to-end econometric projects. Be ready to discuss how you organised tasks, collaborated with teams, and ensured timely delivery of results, as this will show your capability to handle multiple projects.
✨Stay Updated on Industry Trends
Research current trends in econometrics and marketing effectiveness. Being knowledgeable about recent developments will not only impress your interviewers but also demonstrate your passion for the field and commitment to continuous learning.
