-Data Collection and Cleaning: Gather data from primary and secondary sources, identify and correct data errors, and ensure data integrity.
-Data Analysis: Analyze large datasets to identify trends, patterns, and correlations using statistical techniques and analytical tools.
-Data Visualization and Reporting: Create clear and concise reports, dashboards, and visualizations to communicate findings to stakeholders.
-Database Management: Utilize database management systems (e.g., SQL) to query and manipulate data.
-Documentation: Maintain accurate documentation of data analysis processes, methodologies, and results.
-Process Improvement: Identify opportunities to improve data collection, analysis, and reporting processes.
-Present Findings: Present data-driven insights and recommendations to stakeholders clearly and understandably.