Data Analyst

Simera

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

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 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

Preferred Qualifications

  • 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

Skills & tools

LLMPythonNLP

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Experience with LLMs (ChatGPT, Claude, Gemini)
  2. 02Data manipulation and processing
  3. 03Automated workflow building
  4. 04Prompt engineering
  5. 05Familiarity with CSV and JSON
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