Data collection: Collect and gather data from various sources, including databases, surveys, and web analytics tools.
Data cleaning and processing: Process raw data, remove duplicates, and eliminate errors to ensure accuracy and consistency.
Data analysis: Analyze data using statistical tools and techniques to extract insights and identify trends.
Data visualization: Present data insights in a clear and concise manner using graphs, charts, and other visual aids.
Reporting: Create reports and dashboards that provide a comprehensive overview of data analysis findings and present them to stakeholders.
Problem-solving: Identify and troubleshoot data-related problems, and provide recommendations for solutions.
Data-driven decision-making: Help stakeholders make informed decisions by providing data-driven insights.
Continuous improvement: Continuously monitor and evaluate data analysis processes to identify opportunities for improvement.
Technical skills: Use a variety of technical skills, including SQL, Python, and Excel, to perform data analysis.
Communication skills: Communicate effectively with stakeholders, including non-technical audiences, to ensure understanding and alignment on data analysis findings and recommendations.