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 LangChain is a plus.