At a Glance
- Tasks: Lead campaign measurement strategies and deliver insightful analysis to enhance marketing effectiveness.
- Company: Join a global media agency working with a top travel brand.
- Benefits: Competitive salary, hybrid work model, and access to leading measurement tools.
- Other info: Dynamic role with excellent career progression opportunities in a fast-paced environment.
- Why this job: Shape marketing performance measurement and influence major campaigns.
- Qualifications: Experience in media analytics and strong presentation skills required.
The predicted salary is between 58500 - 71500 £ per year.
London | Hybrid (3 days per week) | Up to £68,000 + benefits
Looking to move beyond reporting and into true marketing effectiveness? This is an opportunity to join a global media agency, partnering with one of the world's leading travel and holiday rental brands to shape how marketing performance is measured across the full customer journey.
You'll sit at the centre of campaign measurement, working across brand and performance activity to turn complex data into clear commercial recommendations. You'll be interpreting outputs, leading measurement strategy and helping senior stakeholders understand what is driving business impact.
Why this role stands out
- Join an award-winning global analytics team at the forefront of marketing measurement
- Work across a flagship international travel and holiday rentals client with significant media investment
- Influence how campaigns are measured across Brand Lift, Conversion Lift, Campaign Analytics and MMM
- Highly consultative role with regular exposure to senior client stakeholders
- Access leading measurement tools, cloud technologies and a global analytics community with excellent career progression
The role
- Lead campaign measurement strategies across multiple digital media channels
- Deliver insightful campaign analysis and recommendations that improve marketing effectiveness
- Interpret outputs from MMM, Brand Lift and Conversion Lift studies to influence future investment decisions
- Build robust testing frameworks and measurement plans across brand and performance campaigns
- Manage relationships with clients, media teams and third-party measurement partners
- Present complex analytical findings in a clear, commercial and engaging way
- Help evolve measurement frameworks and best practice across the wider analytics function
Skills & experience
- Experience within media analytics, marketing science or campaign measurement, ideally in a media agency
- Strong understanding of campaign effectiveness methodologies including Brand Lift, Conversion Lift, incrementality testing and campaign analytics
- Confident presenting insights and influencing senior stakeholders
- Strong analytical mindset with knowledge of statistics and experimental design
- Experience using SQL plus either Python or R would be advantageous
- Comfortable managing multiple projects across cross-functional teams in a fast-paced environment
Analytics Associate Director (Marketing Measurement) - Media Agency in 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.
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We think this is how you could land Analytics Associate Director (Marketing Measurement) - Media Agency in London
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We think you need these skills to ace Analytics Associate Director (Marketing Measurement) - 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!
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✨Brush Up on Your Statistics
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