Job Responsibility:
- Develop and maintain Python-based data pipelines for data extraction, transformation, and loading (ETL).
- Automate repetitive tasks and optimize workflows using Python scripting.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Work with large datasets to clean, process, and analyse data efficiently.
- Develop interactive dashboards and reports using Python libraries (Pandas, Matplotlib, Seaborn, Plotly, etc.).
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
- Implement machine learning models for predictive analytics and automation where necessary.
- Optimize SQL queries and work with relational databases (MySQL, PostgreSQL, etc.) for efficient data retrieval.
- Ensure data accuracy, integrity, and security in all analytics processes.
Skills:
- Python
- Data Analytics
- SQL
- Tableau
- Excel