Position: Conversational AI Data Analyst Python
Location: San Antonio, TX (Onsite)
Duration : Contract
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.
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