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.