Data Analyst 2

· 3-5 Years Proficient in using tools like Python, R, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn, Tableau) to analyze and present data insights effectively.

· Data Integration and ETL: Skilled in data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis.

· Statistical Analysis: Proficiency in statistical analysis and hypothesis testing to draw

· meaningful conclusions from data, as well as the ability to apply machine learning

techniques for predictive modeling.