Assist in collecting, cleaning, and processing large datasets using SQL and Python.
Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
Develop, maintain, and enhance interactive dashboards using tools like Tableau or Power BI to communicate key metrics.
Support the development and implementation of basic machine learning models.
Help in evaluating and experimenting with Large Language Models (LLMs) for data-related tasks, support key GenAI initiatives.
Collaborate with team members to present data-driven insights and recommendations to stakeholders.

Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master’s degree is preferred.
1-3 year of experience in data analysis through internships, academic projects, or coursework.
Strong proficiency in SQL for querying and manipulating data from relational databases.
Solid programming skills in Python, including experience with libraries such as Pandas and NumPy.
Hands-on experience creating dashboards and visualizations using Tableau or Power BI.
Basic knowledge of Machine Learning concepts and algorithms (e.g., regression, classification, clustering).
A foundational understanding of Large Language Models (LLMs) and their potential applications.

Data Analyst

Key skills