Data Analyst (Fresher / Python / SQL)-

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, analyse, 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.
 Analysing 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 data-analysis
steps, enabling them to take important decisions based on various facts and trends.
Skills: data,management,analysis reports,code,python,sql,sql400