Analyst managing order fulfillment data reporting and visualization at Verizon. Collaborating with teams to enhance operational efficiency and develop data insights.
FA
Hybrid Data Analyst – LLM Automation, Scoring
Posted 2 months ago
About the role
- Data Analyst utilizing LLMs like ChatGPT for data analysis and workflow automation. Collaborating with teams to integrate AI insights into business processes.
Responsibilities
- 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.
Requirements
- Proven experience working with LLMs (ChatGPT, Claude, Gemini, etc.) for data analysis or automation.
- Strong background in data manipulation, processing, and interpretation.
- 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.
Benefits
- Professional development
- Health insurance
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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