Senior Data Analyst

About the Role
We are looking for a  Sr. Data Analyst  who can transform complex, non-numerical datasets into meaningful insights using a blend of data analytics and large language model (LLM) capabilities.
This role is ideal for someone who is passionate about analyzing  text, audio, and video data , skilled at leveraging  prompt engineering  for deeper qualitative insights, and can bridge the gap between AI-driven analysis and business problem-solving.

Key Responsibilities
Analyze and interpret  unstructured datasets  (text, audio, video) to identify key themes, trends, and opportunities for business and product improvement.
Design, optimize, and apply  prompt engineering techniques  to extract, summarize, and classify information using Large Language Models (LLMs).
Use  NLP ,  speech-to-text , and  computer vision  tools for preprocessing and multi-modal data analysis.
Develop and manage  data taxonomies , tagging frameworks, and classification models for qualitative data.
Collaborate with data engineers and product managers to build automated pipelines for unstructured data insights.
Visualize and communicate findings clearly through dashboards, reports, and narrative summaries.
Continuously explore advancements in  AI-assisted data analytics  and integrate relevant tools and frameworks into existing processes.

Requirements
Bachelor’s or Master’s degree in Data Science, Computer Science, Computational Linguistics, or related field.
Minimum experience 3 years with hands-on experience in  unstructured data analytics  (text, speech, or video).
Proven proficiency in  SQL.
Proven proficiency in  prompt engineering  - ability to design structured prompts for LLMs to extract and analyze qualitative data effectively.
Strong working knowledge of  Python  is a must and knowledge of libraries such as pandas, numpy, NLTK, spaCy, or Lang Chain is a plus.