Marketing Data Analyst

Role overview Build adaptable marketing automation that uses AI agents to analyze campaign signals and carry out operational changes. You will work closely with performance marketers to turn changing goals and KPIs into configurable systems for campaign creation, creative production, and ongoing optimization across paid channels.

Responsibilities - Automate campaign setup, audience segmentation, creative assembly, launches, and optimization across channels. - Use AI and machine learning signals to support bidding, budget pacing, and A/B testing. - Develop multi-agent workflows that generate and refine personalized ad copy and visual or video assets. - Build flexible data flows for timely activation, dynamic content, and campaign adjustments. - Partner with marketers to translate goals into safe technical configurations and maintain data integrity, platform API reliability, and consistent agent deployments.

Requirements - Three or more years in performance or digital marketing analytics and automation, with hands-on AI engineering experience. - Strong grasp of paid marketing KPIs, campaign structure, auctions, targeting, measurement, and advertising platform APIs. - Experience with mobile measurement tools such as AppsFlyer or Adjust. - Track record building end-to-end campaign automation, including programmatic setup, ML-driven optimization, and API-based actions. - Advanced SQL and Python skills, plus experience with configurable architectures or rules engines, attribution, and activation workflows. - Ability to build AI agents with foundation models and connect them to external tools and APIs.

Nice to have - Familiarity with advertising platforms such as Meta, Google Ads, TikTok, and Apple Search Ads. - Experience supporting dynamic creative optimization or headless content systems.

Benefits and work setup - The role works closely with the performance marketing team and requires comfort with changing campaign priorities, clear communication across technical and marketing work, and a product mindset focused on safe self-service.