- Data Cleaning and Preparation: Cleaning and preprocessing data to prepare it for analysis. This involves identifying and correcting errors, handling missing values, and transforming data into a usable format.
- Data Collection and Management: Collecting and organizing large datasets from various sources, ensuring data integrity and accuracy.
- Statistical Analysis: Applying statistical methods to analyze data, identify trends, and uncover insights
- Data Visualization: Creating visual representations of data to make it easier to understand and interpret. This includes creating charts, graphs, and dashboards.
- Collaboration with Teams: Working closely with other departments such as marketing, finance, and operations to understand their data needs and provide analytical support.
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