Key Responsibilities
- Clean, transform, and validate datasets for analysis using Python or R
- Conduct Exploratory Data Analysis (EDA) to identify trends and patterns in real-world datasets
- Build interactive dashboards and visualizations using Power BI, Tableau, or MS Excel
- Interpret data to prepare reports with actionable insights and business recommendations
- Analyze large datasets to uncover opportunities and support data-driven decision-making
Requirements
- Working knowledge of Python (Pandas, NumPy, Matplotlib) or strong proficiency in MS Excel
- Basic understanding of SQL and data visualization tools
- Strong analytical thinking and problem-solving skills
- Prior coursework or personal projects in data analysis is an added advantage