Responsibilities:
- Partner closely with channel leads to define learning agendas, frame the right questions, and translate insight into clear, actionable recommendations.
- Design and deliver across paid media and the wider marketing mix, including campaign performance, incrementality, efficiency, and diminishing returns.
- Integrate outputs from multiple measurement approaches such as experiments, cohort analysis, attribution signals, MMM into coherent, decision-led narratives for senior stakeholders.
Experience and Competencies:
- Significant experience in marketing, media, or growth analytics within a digital, marketplace, subscription, or consumer technology business.
- Strong understanding of paid media performance and buying mechanics, alongside broader acquisition levers including brand, organic, and lifecycle effects.
- Hands-on experience with effectiveness and incrementality measurement approaches such as lift studies, controlled experiments, MMM, and A/B testing.
Tools and Technical Skills:
- Strong working knowledge of SQL and experience analysing large, complex datasets.
- Familiarity with analytical tools and languages such as Python or R.
- Experience working with marketing and experimentation data from major digital platforms and internal data warehouses (we use Databricks).