Conversational AI Data Analyst – Python || San Antonio, TX (Onsite) || Relocation will work

DMS Vision • San Antonio, TX

2d • Onsite

About The Position

We are seeking a Conversational AI Data Analyst with strong Python skills to prepare, structure, and analyze customer conversation data for pre-trained intent classification models. The role focuses on structuring, cleaning, and slicing unstructured data, generating business insights through analysis, and telling data stories through visualization using Tableau or Streamlit. The position is onsite five days a week in San Antonio, Texas, and relocation is possible. The stated duration is six or more months on contract.

Requirements

• Strong Python skills for data manipulation using Pandas and NumPy.
• Experience with text preprocessing, data cleaning, tokenization, normalization, and data structuring.
• Working knowledge of NLU concepts, intent classification pipelines, chatbot workflows, and entity extraction basics.
• Experience analyzing conversational datasets such as chat logs, transcripts, or user utterances.
• Ability to create dashboards or reports using Tableau, Streamlit, or similar tools.
• Strong analytical thinking, communication, and data storytelling skills.

Responsibilities

• Ingest, clean, normalize, and structure chatbot conversation logs and user utterances into intent-ready datasets.
• Support pre-trained intent classification systems by maintaining intent taxonomy, validating labeled data, and identifying missing or overlapping intents.
• Analyze conversational data by intent, entity, user segment, channel, fallback cases, and low-confidence predictions.
• Generate insights to improve chatbot journeys, response accuracy, intent coverage, and overall conversational experience.
• Build dashboards, reports, and data stories to present trends, gaps, and recommendations to business and product teams.

What This Job Offers

• Education Level: No Education Listed