Data Analyst

Using automated tools to extract data from primary and secondary sources
• Removing corrupted data and fixing errors and related problems
• Developing and maintaining datasets – reorganizing data in a readable format
• Performing analysis to assess the quality and meaning of data
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for
the diagnosis and prediction
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Working with programmers, solution architectures, and management heads to identify process improvement opportunities,
propose system modifications, and devise data governance strategies.
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important
decisions based on various facts and trends.