Lead advertiser-facing measurement & effectiveness efforts—helping major brands optimise media investments through rigorous measurement methodologies (e.g., incrementality testing, MMM, attribution, reach studies)—while working cross-functionally to drive adoption and action. This role is hybrid, 3 days per week onsite in London, paying £48.08 per hour PAYE.
Key Responsibilities:
Ad measurement frameworks
* Design and execute experiments like conversion lift, geo-based/user-based incrementality, and A/B tests.
* Develop full-funnel measurement strategies (attribution, MMM, reach).
Consultative client engagement
* Partner with large advertisers/agencies to guide adoption of our measurement tools for better business results.
* Drive strategy to help UK marketers and agencies understand, prepare for, adapt, and evolve for modern Measurement.
* Present actionable insights, quantify ROI, and influence media spend and budget decisions.
* Create content and event programs for UK Ads Marketing and Sales teams to educate and support advertisers.
* Develop messaging, collateral, livestreams, and business strategies for growing advertisers.
* Plan and execute campaigns for UK marketers and agency teams.
Cross-functional coordination
* Collaborate with Sales, Product, Analytics, Data Science, and Engineering to implement solutions and optimise offerings.
* Contribute to enablement and internal evangelism of best practices.
Qualifications:
Experience & domain expertise
* Proven track record in running marketing incrementality tests (e.g. geo or user-based), MMM, attribution models, lift studies.
* Deep familiarity with Ads measurement products and digital media trends.
Analytical & consultative acumen
* Strong data interpretation skills—able to synthesize results into clear business recommendations.
* Comfortable working with both quantitative data and qualitative client needs.
Stakeholder management
* Excellent communicator capable of influencing senior stakeholders (internal and client-side).
* Adaptable to working across teams and varying business contexts.
Educational background
* Likely a degree in Marketing, Business Analytics, Economics, Statistics, or related fields.