Conversational AI Data Analyst
Job Location:
Job Location:
San Antonio, TX - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
2 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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.
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.
