At a Glance
- Tasks: Build and update econometric models to enhance marketing performance insights.
- Company: Join an award-winning media agency with a collaborative marketing science team.
- Benefits: Flexible hybrid work, meaningful holidays, and extended remote working options.
- Other info: Dynamic environment with opportunities for professional growth and collaboration.
- Why this job: Engage in impactful projects while developing client communication and coaching skills.
- Qualifications: Experience in MMM or econometric modelling, strong R or Python skills, and attention to detail.
The predicted salary is between 40500 - 49500 £ per year.
London | Hybrid: 3 days in the office
You know how to build a robust econometric model. Now you want more involvement in the questions behind it, the recommendations it informs and the conversations that follow. This Senior Analyst opportunity offers exactly that: hands-on MMM work within an award-winning marketing science team, alongside growing responsibility for projects, client engagement and supporting junior colleagues.
Part of a major media agency, the team brings together analysts, consultants, researchers, data scientists and technologists. With work spanning marketing effectiveness, audience analytics, brand measurement and research, you’ll be surrounded by expertise that can help you develop beyond your immediate specialism.
What makes it appealing?
- Flexibility in your week: three days in the office, with the remaining days available to work from home
- Holidays that reflect what matters to you: swap public holidays for personally meaningful dates
- The chance to extend time away: add up to two weeks of remote working to booked annual leave through a work-from-anywhere policy
- Experience that builds your next step: develop your client communication, project management and coaching skills while staying close to the modelling
What you’ll do
You’ll build and update econometric models that help brands understand marketing performance and make better investment decisions. Working with Consultants, you’ll turn business questions into analytical approaches, interpret results and develop clear recommendations. You’ll take ownership of elements of project delivery, contribute to client discussions and help Analysts develop their modelling skills. There’s also scope to contribute ideas for new solutions and analytical methods, working with specialists across the wider business.
What you’ll bring
- Strong practical experience building and updating MMM or econometric models.
- Excellent R or Python skills, with R preferred, plus strong Excel knowledge.
- An understanding of how modelling results translate into commercial decisions.
- Careful attention to accuracy, consistency and analytical quality.
- The confidence to take greater ownership and an interest in helping others develop.
Senior Analyst (MMM) - Media Agency in London employer: Silverdrum
Join one of the UK's leading Marketing Science teams as a Senior Consultant in London, where you'll be part of a dynamic and innovative work culture that values collaboration and creativity. With a strong focus on employee growth, you will have the opportunity to work on high-impact projects for major brands, while enjoying a competitive salary and benefits package. This hybrid role not only allows for flexibility but also positions you at the forefront of marketing effectiveness, making it an ideal place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst (MMM) - Media Agency in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Silverdrum!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Silverdrum.
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We think you need these skills to ace Senior Analyst (MMM) - Media Agency in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Silverdrum, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Silverdrum. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Silverdrum
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Silverdrum!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
