Assist in collecting data from various sources, ensuring accuracy and completeness.Perform data cleaning and preprocessing to prepare datasets for analysis.Conduct exploratory data analysis using tools like Excel and Python.Generate reports and summaries of findings to support business decisions.Create basic data visualizations to represent data insights using tools like Power BI or Excel.Assist in developing dashboards to track key performance indicators (KPIs).Support the maintenance and organization of databases, ensuring data integrity.Help in executing SQL queries to extract and manipulate data as needed.Work with various departments to understand their data needs and provide analytical support.Communicate findings and insights effectively to non-technical stakeholders.Participate in training sessions and workshops to enhance technical skills and knowledge.Stay updated with the latest trends and best practices in data analytics.Identify opportunities for automating data collection and reporting processes.Suggest improvements to existing data workflows and procedures.Assist in data-related projects, ensuring timely completion and accuracy.Document processes and methodologies used in data analysis projects.Conduct data quality checks to ensure the accuracy and reliability of data.Assist in troubleshooting and resolving data-related issues.