Key Responsibilities
- Work with real datasets using Python, SQL, and Pandas for data cleaning, preprocessing, and exploratory data analysis (EDA)
- Build basic data models and generate actionable insights from structured and unstructured data
- Create reports and visualizations to support data-driven business decisions
- Collaborate with cross-functional teams on end-to-end data projects
- Apply statistical techniques to identify trends and patterns in datasets
- Document methodologies and findings for team review and future reference
Requirements
- Basic knowledge of Python, SQL, and Pandas libraries
- Understanding of core data analysis concepts and techniques
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn)
- Curiosity and willingness to learn new data science methodologies
- Strong problem-solving skills and attention to detail