Analytics Engineer: AI-Powered Data & Automation
Thesis
Thesis is seeking an Analytics Engineer to own data infrastructure and build AI systems that transform how the company operates. This hybrid role combines reliable data pipelines with developing agent-based automation to enable a small team to function at scale. The candidate will work with the Director of Data Analytics on end-to-end data and AI initiatives, touching ETL, modeling, dashboards, and internal tooling. A strong emphasis on self-service and ownership guides daily work. #J-18808-Ljbffr Thesis
Vacancy posted 5 days ago
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