Conversational AI Data Analyst – Python for San Antonio, TX (Onsite from day one, Remote NOT allowed)

Key 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.

Required Skills & Qualifications

• 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.