Background in a quantitative field: Statistics, data science, physics, computer science or similar. A university degree in one of these is strongly preferred; a strong demonstrable track record can substitute.
Paid Media & Business Sense: You understand how paid acquisition drives revenue and profit, and you turn analysis into a strategy you can execute. Hands-on experience with Google Ads, Microsoft Ads or Meta is a plus, not a must.
AI Native Efficiency: You have an enthusiasm for using AI and LLMs to improve productivity and enable new internal workflows.
Outcome Owner: You are driven by results like revenue and profit rather than simple output.
Collaborative Investigator: You work cross functionally with Product and Operations teams to provide data insights and measurement frameworks.

Marketing Analytics Specialist - Paid Acquisition

Summary