TL-CX-Product Support

Job Summary Expert-level proficiency in data manipulation and querying specifically using SQL JOINS Group By Indexing Stored Procedures and advanced Excel formulas and Pivot Tables. Logical thinking mindset with proficiency in Python Pandas NumPy etc. experience with Apps Script and Google Workspace is a strong advantage. Knowledge in basic Machine Learning modeling and the use of Python libraries e.g. NLP - BERT pandas numpy etc experience utilizing LLM APIs ChatGPT/Gemini etc prompt engineer

Responsibilities Work closely with business product and operations stakeholders to understand analytical requirements. Extract transform and analyze data using SQL Python and Excel. Analyze unstructured text data like user feedback chatbot transcripts and survey responses. Apply text analytics and ML-based techniques (supervised and unsupervised) for insights. Design data science solutions and select SQL or Python strategies based on data volume complexity and use case. Design innovative workarounds and alternate analytical strategies when faced with tool model or dataset limitations.