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

Job Title: Conversational AI Data Analyst Python
Location: San Antonio, TX (Onsite from day one, Remote NOT allowed)
Duration: 12 Month

Job Description: 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 data structuring, cleanup, slicing of unstructured data; bring business insights through data analysis; data story telling through visualization using Tableau or Streamlit.

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.

Rahul Sharma | Team Lead
Amaze Systems Inc

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