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- Tasks: Analyse marketing activities and optimise spend using data modelling.
- Company: Join a dynamic team in London focused on impactful marketing strategies.
- Benefits: Competitive daily rate, potential for contract extension, and immediate start.
- Why this job: Work on high-impact projects and enhance your skills in a fast-paced environment.
- Qualifications: Experience in Marketing Mix Modelling and strong coding skills in Python or R required.
- Other info: Ideal for those looking to make a significant impact in a short time.
The predicted salary is between 40000 - 60000 £ 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 Recruitment
Contact Detail:
Xpertise Recruitment 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 features and functionalities will not only boost your confidence but also allow you to discuss specific use cases 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 technical abilities in these languages can set you apart from other candidates.
✨Tip Number 3
Prepare to showcase your analytical skills by having examples ready that illustrate how you've successfully translated complex data into actionable insights in previous roles.
✨Tip Number 4
Network with professionals in the marketing analytics field. Engaging with others can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
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 expertise in data modelling and your ability to 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 of your work to illustrate your impact in previous positions.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application reflects your attention to detail, which is crucial in data analysis roles.
How to prepare for a job interview at Xpertise Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your coding skills in Python or R during the interview. Be prepared to discuss specific projects where you've built or refined Marketing Mix Models, as this will demonstrate your hands-on expertise.
✨Prepare for Data-Driven Questions
Expect questions that assess your ability to analyse data and derive actionable insights. Brush up on your statistical analysis techniques and be ready to explain how you've optimised marketing spend based on your findings.
✨Familiarise Yourself with Meta's Robyn
Since the role specifically mentions experience with Meta's Robyn MMM, it’s crucial to familiarise yourself with this tool. If you have prior experience, be ready to discuss how you used it to achieve successful outcomes in your projects.
✨Communicate Clearly
Your ability to translate complex data into clear insights is key. Practice explaining your past work in a way that is easy to understand, as this will show your potential employer that you can effectively communicate with non-technical stakeholders.
