Data Analyst – LLM Automation & Scoring; Remote

We are seeking a Data Analyst with hands‑on experience using Large Language Models (LLMs) such as ChatGPT, Claude, or similar AI tools to analyze, evaluate, and score data s role focuses on building automated workflows that feed structured and unstructured data into LLMs, interpret outputs, and convert insights into actionable results for business decision‑making.

• Use LLMs (ChatGPT, Claude, etc.) to analyze, categorize, and score datasets across various use cases.
• Design and develop automated workflows to pipe data into LLM models and retrieve structured outputs.
• Work with APIs, data pipelines, and automation tools to streamline LLM processing.
• Build and maintain scalable processes for ongoing data ingestion, transformation, and evaluation.
• Validate and refine AI outputs to ensure accuracy, consistency, and reliability.
• Collaborate with cross‑functional teams (Product, Engineering, Ops) to integrate AI‑driven insights into business processes.
• Develop documentation, frameworks, and best practices for AI data analysis and scoring processes.
• Monitor model performance, troubleshoot issues, and propose improvements.

• Proven experience working with LLMs (ChatGPT, Claude, Gemini, etc.) for data analysis or automation.
• Strong background in data manipulation, processing, and interpretation
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• Experience building automated workflows or pipelines (e.g., Python, APIs, Zapier, Airflow, or similar tools).
• Ability to structure prompts, evaluate outputs, and optimize model performance.
• Familiarity with structured and unstructured data formats (CSV, JSON, text, etc.).
• Strong analytical mindset, attention to detail, and problem‑solving skills.
• Excellent written and verbal communication skills.

• Experience with NLP applications or AI‑driven analytics.
• Background in analytics, data engineering, or automation projects.
• Knowledge of SQL, Python, or other scripting languages.
• Experience integrating AI solutions into business systems or platforms.