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- Tasks: Build and refine econometric models to analyse marketing performance.
- Company: Join a dynamic team focused on data science and marketing analytics.
- Benefits: Enjoy a competitive salary and the flexibility of remote work.
- Why this job: Make a real impact by delivering actionable insights to clients.
- Qualifications: 2+ years in Marketing Mix Modelling; proficiency in Python or R required.
- Other info: This role does not provide sponsorship.
The predicted salary is between 42000 - 84000 £ per year.
Location: London or remote
Salary: £60,000
The Role: As a Marketing Mix Modelling Specialist, you’ll play a key role in building and refining econometric models, analyzing multi-channel marketing performance, and delivering actionable insights to clients.
What You’ll Be Doing:
- Develop and refine MMM models to measure the effectiveness of media investments across various channels.
- Leverage Python or R to analyze large datasets, build statistical models, and automate workflows.
- Collaborate with clients to translate data insights into strategic marketing recommendations.
- Work closely with a small, dynamic team, ensuring a hands-on approach to every project.
- Stay ahead of industry trends in data science, econometrics, and marketing analytics.
What We’re Looking For:
- 2+ years of experience in Marketing Mix Modelling, econometrics, or statistical analysis.
- Proficiency in Python or R for data manipulation, statistical modeling, and visualization.
- Strong understanding of media channels, attribution, and marketing performance analysis.
- Ability to interpret complex data and present clear insights to stakeholders.
- Experience with Bayesian modeling, time-series analysis, or machine learning is a plus!
Unfortunately, this role does not provide sponsorship!
Senior Analyst (Marketing Mixed Modelling) employer: Xcede Recruitment Solutions
Contact Detail:
Xcede Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analyst (Marketing Mixed Modelling)
✨Tip Number 1
Familiarise yourself with the latest trends in marketing mix modelling and econometrics. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your Python or R skills, especially focusing on data manipulation and statistical modelling. Consider working on personal projects or contributing to open-source projects to showcase your abilities.
✨Tip Number 3
Network with professionals in the field of marketing analytics. Attend industry events or webinars to connect with potential colleagues and learn from their experiences, which can give you an edge in your application.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive marketing decisions in past roles. Being able to articulate your experience clearly will demonstrate your value to the team.
We think you need these skills to ace Senior Analyst (Marketing Mixed Modelling)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Marketing Mix Modelling and statistical analysis. Use specific examples of projects where you've developed econometric models or analysed multi-channel marketing performance.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about marketing analytics and how your skills in Python or R can contribute to the team. Mention any relevant experience with Bayesian modelling or machine learning to stand out.
Showcase Your Technical Skills: Clearly outline your proficiency in Python or R within your application. Consider including a brief project description or a link to a portfolio that demonstrates your ability to analyse large datasets and build statistical models.
Highlight Collaboration Experience: Since the role involves working closely with clients and a dynamic team, emphasise any past experiences where you collaborated on projects. Describe how you translated data insights into strategic recommendations for stakeholders.
How to prepare for a job interview at Xcede Recruitment Solutions
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python or R during the interview. Be prepared to discuss specific projects where you've used these tools for data manipulation and statistical modelling, as this will demonstrate your hands-on experience.
✨Understand Marketing Mix Modelling
Brush up on the principles of Marketing Mix Modelling and be ready to explain how you have applied these concepts in previous roles. Discussing real-world examples will help illustrate your understanding and expertise in the field.
✨Prepare for Data Interpretation Questions
Expect questions that assess your ability to interpret complex datasets. Practice explaining your thought process when analysing data and how you derive actionable insights from it, as this is crucial for the role.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in data science, econometrics, and marketing analytics. Being able to discuss current developments will show your passion for the field and your commitment to staying ahead of the curve.
