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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: Be part of a collaborative culture that values innovation and data-driven insights.
- Qualifications: Two years of experience in econometric modelling, 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 - 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 (London Area) employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Econometric Modeller (London Area)
✨Tip Number 1
Familiarise yourself with the latest trends in econometric modelling and marketing mix analysis. This will not only help you understand the current landscape but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your coding skills in R and Python by working on personal projects or contributing to open-source initiatives. This practical experience can be a great talking point and demonstrate your hands-on abilities.
✨Tip Number 3
Network with professionals in the field through LinkedIn or industry events. Building connections can provide insights into the role and may even lead to referrals, increasing your chances of landing an interview.
✨Tip Number 4
Prepare to discuss specific examples of how you've used econometric models to drive business decisions in past roles. Being able to articulate your impact clearly will set you apart from other candidates.
We think you need these skills to ace Econometric Modeller (London Area)
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 to demonstrate your expertise and how it aligns with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision making. Mention your experience managing econometric projects and your ability to present complex insights clearly. Tailor it to reflect the company's focus on marketing effectiveness.
Showcase Relevant Projects: In your application, include details of specific projects where you have built and presented econometric models. Highlight your role in these projects and the impact they had on business decisions, demonstrating your results-driven mindset.
Prepare for Potential Interviews: Anticipate questions related to econometric theory, regression analysis, and your coding skills. Be ready to discuss how you approach data collection, cleansing, and analysis, as well as your experience mentoring junior team members.
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 results-driven mindset.
✨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.
