• Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, IT, or a related field. • Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI). • Basic understanding of big data technologies (e.g., Hadoop, Spark) is a plus. • Familiarity with Python, R, or other programming languages used in data analytics is a plus. • Knowledge of ETL processes and data warehousing concepts.
• Perform data entry and processing with accuracy and efficiency. • Assist in big data analytics and reporting, extracting insights from large datasets. • Support AI and machine learning data processing, cleaning, and preparing data. • Help develop business intelligence (BI) solutions, creating dashboards and reports. • Assist in data warehousing and ETL (Extract, Transform, Load) processes • Strong analytical and problem-solving skills with attention to detail. • Ability to work independently and in a team • Eagerness to learn and adapt to new data technologies.
April 06, 2025