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- Tasks: Analyse marketing activities and optimise spend using advanced modelling techniques.
- Company: Join a dynamic team in London, focused on impactful marketing strategies.
- Benefits: Competitive daily rate, potential for contract extension, and hands-on experience with cutting-edge tools.
- Why this job: Make a real impact on marketing strategies while developing your skills in a fast-paced environment.
- Qualifications: Experience in Marketing Mix Modelling and strong coding skills in Python or R required.
- Other info: Immediate start available for the right candidate.
The predicted salary is between 40000 - 63000 £ per year.
We are looking for an experienced Marketing Mix Modelling (MMM) specialist, ideally with hands-on expertise using Meta's Robyn MMM, for an initial 8-week contract, with strong potential for extension.
Key requirements:
- Proven experience in Marketing Mix Modelling, analysing the impact of marketing activities across various channels
- Strong coding skills in Python or R, with the ability to build and refine MMM models
- Expertise in data modelling, statistical analysis, and performance optimisation
- Ability to translate complex data into clear, actionable insights to optimise marketing spend
This is an excellent opportunity for a skilled MMM professional to contribute to high-impact projects. If you are interested or know someone who would be a great fit, please apply or get in touch.
Marketing Mix Modeller employer: Xpertise
Contact Detail:
Xpertise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Mix Modeller
✨Tip Number 1
Familiarise yourself with Meta's Robyn MMM before applying. Understanding its functionalities and how it integrates with marketing strategies will give you a significant edge during interviews.
✨Tip Number 2
Brush up on your Python or R coding skills, especially in the context of data modelling. Being able to demonstrate your coding proficiency through practical examples can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully analysed marketing activities. Highlighting your ability to translate complex data into actionable insights will showcase your expertise in MMM.
✨Tip Number 4
Network with professionals in the marketing analytics field. Engaging with others who have experience in Marketing Mix Modelling can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Marketing Mix Modeller
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Marketing Mix Modelling, particularly any hands-on work with Meta's Robyn MMM. Use specific examples to demonstrate your coding skills in Python or R.
Craft a Compelling Cover Letter: In your cover letter, explain why you are the ideal candidate for this role. Emphasise your ability to analyse marketing activities and translate complex data into actionable insights.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Detail your role, the tools you used, and the outcomes achieved to illustrate your expertise in data modelling and performance optimisation.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a role that involves statistical analysis.
How to prepare for a job interview at Xpertise
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python or R in detail. Bring examples of how you've built and refined Marketing Mix Models in the past, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Research the company and its marketing strategies. Be ready to explain how your modelling can directly impact their marketing spend and overall performance, showing that you can translate data into actionable insights.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems using MMM. Practise explaining your thought process clearly, as this will highlight your analytical skills and ability to optimise marketing activities.
✨Communicate Clearly and Confidently
During the interview, focus on articulating complex concepts in a straightforward manner. This will showcase your ability to make data accessible to non-technical stakeholders, which is crucial for the role.
