Marketing Data Analyst

atWego.comRemoteID flagIndonesiaFull-timeMarketing AnalystMid-levelSenior

Posted 1 day ago

This is a fully remote position, open to applicants in Indonesia.

πŸ“‹ Description

β€’ Develop the next generation of marketing automation solutions for the MarTech team.

β€’ Design and implement autonomous AI agents that extract insights from digital campaigns and enhance marketing operations.

β€’ Create automated workflows for campaign development, audience segmentation, creative assembly, launching, and ongoing optimization.

β€’ Utilize AI/ML signals to execute dynamic bidding, budget pacing, and A/B testing across various channels.

β€’ Engineer multi-agent systems to produce and refine personalized ad copy, images, and videos at scale.

β€’ Establish and maintain adaptable data flows for real-time marketing activation.

β€’ Design data architectures for dynamic content generation and automated campaign adjustments.

β€’ Collaborate daily with the Performance Marketing team to translate KPIs and campaign goals into technical configurations.

β€’ Ensure data accuracy, API reliability, and consistent deployments of AI agents across paid channels.

β€’ Design, build, and implement autonomous AI agents using Claude, Gemini, and OpenAI for automated marketing workflows.


⛳️ Requirements

β€’ Over 3 years of experience in performance/digital marketing analytics and marketing automation with practical knowledge in AI engineering.

β€’ Comprehensive understanding of paid/performance marketing KPIs, media platform campaign structures, auction mechanics, targeting strategies, measurement, and APIs including Meta, Google Ads, and TikTok.

β€’ Familiarity with MMP tools such as AppsFlyer and Adjust.

β€’ Demonstrated experience in developing end-to-end campaign automation systems, including programmatic campaign creation, ML-driven optimization, and automated actions via ad platform APIs.

β€’ Proficiency in SQL and Python.

β€’ Experience in constructing configuration-driven architectures or rules engines, attribution models, and activation workflows.

β€’ Expertise in building and orchestrating AI agents using foundational LLMs and integrating LLMs and AI agents with external tools and APIs.

β€’ Exceptional adaptability and comfort with ambiguity.

β€’ Strong product-focused mindset.

β€’ Outstanding communication skills.


🏝️ Benefits

β€’ Competitive salary and performance-based bonuses.

β€’ Opportunities for professional development and career growth.

β€’ Collaborative and innovative work environment.

β€’ Comprehensive health and wellness benefits.

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