At a Glance
- Tasks: Lead innovative analytics programmes and shape media investment decisions across multiple international markets.
- Company: Join a dynamic global media agency group with a focus on advanced analytics.
- Benefits: Competitive salary up to £95,000, hybrid work, and opportunities for team building.
- Other info: Exciting opportunity to build a team and drive analytics innovation.
- Why this job: Make a real impact by transforming complex data into actionable insights for major brands.
- Qualifications: Strong experience in media analytics and proven leadership in multi-market environments.
The predicted salary is between 60750 - 74250 £ per year.
- Analytics Director, EMEA | Media & Measurement
- Up to £95,000 + benefits | London | Hybrid, 3 days p/w
A brand-new senior analytics role within a global media agency group , created following increased client investment across major international accounts.
This is less about sitting behind a screen building MMM models and more about leading sophisticated measurement programmes across multiple markets .
You’ll sit between clients, agency teams and data scientists, shaping the approach, challenging the technical work and ensuring analytics translates into better media investment decisions.
- Company and benefits - what makes this exciting
- Join a newly centralised EMEA analytics and data science function working across multiple agencies and major global advertisers.
- Lead multi-market measurement programmes for two high-profile automotive and QSR brands, spanning 10+ international markets.
- Broad remit across MMM, incrementality/testing, attribution, econometrics, optimisation and advanced data science solutions.
- Brand-new standalone position with the opportunity to build out a team as the client scope grows.
- Role and responsibilities
- Lead senior client engagement across complex, multi-market analytics and measurement programmes.
- Drive the evolution and deployment of
MMM , helping clients integrate measurement outputs into budget planning and investment decisions.
- Establish testing best practice and measurement frameworks across international markets.
- Review, challenge and improve the quality of analytics and modelling delivered by specialist data science teams.
- Connect technical outputs with the commercial media challenge, turning complex analysis into a clear and compelling story for senior stakeholders.
- Coordinate across agency, analytics, data operations and specialist teams to deliver cohesive solutions.
Skills and experience required
- Strong experience within a large media agency / agency group environment is important, ideally working across EMEA or global clients.
- Proven experience leading sophisticated analytics, measurement or data science programmes across multiple markets.
- Strong understanding of
MMM and wider media measurement , but you don't necessarily need to be the person building the models yourself.
- Consultative enough to challenge senior clients, but technically credible enough to work closely with data scientists and interrogate their approach.
- Experience across broader areas such as attribution, experimentation, econometrics, optimisation or media planning analytics would be highly valuable.
- Excellent senior stakeholder management and the ability to navigate complex global agency and client structures.
A strong opportunity for an agency-side analytics leader who wants to move beyond pure project delivery and take ownership of how advanced measurement is applied across major international clients .
Analytics Director, EMEA - Media & Measurement (MMM) in City of London employer: Silverdrum
At Silverdrum, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture in the heart of London. Our commitment to employee growth is evident through tailored development programmes and opportunities to lead innovative projects, particularly in the fast-paced realm of digital commerce. Join us to be part of a forward-thinking team where your contributions directly shape the future of connected commerce for leading global brands.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Director, EMEA - Media & Measurement (MMM) in City of London
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We think you need these skills to ace Analytics Director, EMEA - Media & Measurement (MMM) in City of 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!
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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!
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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
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✨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.
