Responsibilities:

- Data collection: Gather data from various sources, including databases, APIs and external datasets. Develop & Main data pipelines to ensure a steady flow of data

- Data cleaning and Pre -processing: Clean, pre -process and validate data to ensure its accuracy and reliability. Handle missing data, outliers, and inconsistencies effectively

- Data Analysis: Perform exploratory data analysis (EDA) to identify trends, patterns, and insights. Conduct statistical analysis to derive meaningful conclusions

- Reporting: Generate regular reports and ad -hoc analyses for stakeholders. Present findings and insights through charts, graphs and dashboards to technical and non -technical audiences in a clear and concise manner

- Data Quality Assurance: Implement data quality checks and validation processes to ensure data integrity. Monitor data pipelines for consistency and accuracy

- Collaboration:



Collaborate with cross -functional teams, including business analysts, data engineers and decision -makers to understand data requirements and deliver insights

- Continuous learning: Stay up -to -date with industry trends, best practices, and emerging technologies in data analysis and Python