Using automated tools to extract data from primary and secondary sources
- Removing corrupted data and fixing coding errors and related problems
- Developing and maintaining databases and data systems reorganizing data in a readable format
- Performing analysis to assess the quality and meaning of data
- Filter Data by reviewing reports and performance indicators to identify and correct code problems
- Using statistical tools to identify analyze and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
- Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time
- Analyzing local national and global trends that impact both the organization and the industry
- Preparing reports for the management stating trends patterns and predictions using relevant data
- Working with programmers engineers 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 dataanalysis steps enabling them to take important decisions based on various facts and trends
- Understand the daytoday issues that our business faces which can be better understood with data
- Compile and analyze data related to business issues
- Develop clear visualizations to convey complicated data in a straightforward fashion
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