About the Role
As the Advertising Attribution & Performance Executive, you will help shape and develop Bauer’s advertising measurement ecosystem. Your focus will be on supporting the rollout of attribution platforms—such as Veritone—while building the frameworks, reporting, and insights that drive better decision‑making and campaign performance.
This is an exciting hybrid role blending analytics, tooling, commercial enablement, and innovation, making it ideal for someone passionate about data‑driven advertising, attribution models, and empowering teams with actionable insights.
Key Responsibilities
1. Drive the rollout, onboarding, and adoption of Veritone and other attribution tools across Bauer’s 9 markets.
2. Build standardised campaign performance reports, dashboards, and templates to support consistent measurement.
3. Strengthen trust in attribution insights among internal teams and advertisers/agencies. Document best practices and produce training resources to enhance measurement capability across markets.
4. Analyse campaign performance data to identify trends and deliver actionable insights.
5. Experiment with and evaluate new measurement approaches, including MMM, digital attribution, and emerging technologies.
6. Develop and deliver training that helps non‑technical and commercial teams confidently use attribution tools.
7. Support teams in applying attribution insights to client pitches, conversations and campaign optimisation.
8. Collaborate with commercial, product, analytics, and market teams to ensure measurement frameworks align with broader business and advertiser objectives.
Qualifications & Experience
9. Experience in performance analytics, media measurement, or advertising effectiveness.
10. A general understanding of attribution approaches is required. Experience with tools such as Veritone, MMM, or digital attribution platforms is highly desirable but not essential.
11. Ability to interpret complex datasets and translate findings into clear, actionable insights.
12. Background in developing training materials or enabling commercial teams to use data‑driven tools effectively.
13. Skilled in stakeholder management, working confidently across commercial, technical, and product teams.
14. Clear and adaptable communicator, able to simplify complex data for different audiences.
15. Collaborative, organised, and effective at managing input from multiple stakeholders.