Clean, validate, and query raw data, while documenting data lineage and developing visualized analytics/mapping tools to support strategic business decisions.
Shadow operations teams to identify manual bottlenecks, classify automation potential, and research/apply AI frameworks to streamline workflows.
Assist in curating training datasets, refining prompts, and developing AI-powered agents/chatbots to automate issue resolution and internal task management.
Requirements
Proficient in Python and SQL with a strong foundation in data visualization and system design thinking.
AI & Automation Mindset: Familiar with AI/LLM frameworks, prompt engineering, or low-code automation tools.
Analytical & Soft Skills: Strong logical thinking, structured problem-solving, and the ability to collaborate across both technical and operational teams.
