Data analyst - sql python

About the Company ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. We are seeking a talented and motivated student intern for a Data Analyst role. This is an extraordinary opportunity for a self-driven, analytically minded student with a passion for extracting meaningful insights from complex datasets and contributing to data-driven decision making. About the Internship As a Data Analyst intern, you will work on cutting-edge projects involving data collection, processing, analysis, and visualization in financial markets. You will have the opportunity to engage in multiple mini-projects across various functional areas of the company. The internship is designed to provide practical exposure to real-world data analysis and business intelligence. As part of the internship, you will work through a structured set of assignments designed to enhance your understanding of data analytics methodologies and applications. Data Collection and Processing: Gather data from various sources and databases. Clean and pre-process data to ensure quality and usability. Develop and maintain data pipelines. Implement data validation procedures and quality checks.

• Data Analysis and Modelling: Identify patterns, trends, and correlations in complex data. Develop predictive models and conduct hypothesis testing. Create data-driven solutions for business problems.
• Data Visualization and Reporting: Develop compelling data visualizations to communicate findings. Business Intelligence: Transform raw data into actionable business insights. Support decision-making processes with data-backed recommendations. Monitor key performance indicators and metrics. Capstone Project: Complete an end-to-end data analysis project including problem definition, data collection and preparation, analysis and modelling, visualization of results, and recommendations based on findings. Practical experience with data analysis tools and techniques. Hands-on skills in data visualization and dashboard creation. Effective communication of technical findings to non-technical audiences. Knowledge of AI and machine learning applications in data analytics. Student or fresh graduate from any academic discipline. Basic knowledge of data analysis tools such as Excel, SQL, Python, or R. Interest in working with data and deriving insights. Internship Details