Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
Filter Data by reviewing reports and performance indicators to identify and correct code problems
Developing and maintaining databases, data systems – reorganizing data in a readable format
Removing corrupted data and fixing coding errors and related problems
Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
Analyzing local, national, and global trends that impact both the organization and the industry
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.
Requirements
Key Skills for a Data Analyst :-
Strong mathematical skills to help collect, measure, organize and analyze data
Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing
Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
Problem-solving skills
Accuracy and attention to detail
Adept at queries, writing reports, and making presentations
Team-working skills
Verbal and Written communication skills
Role: Data Analyst
Industry Type: Software Product
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Business Intelligence & Analytics
Education
UG: Any Graduate
PG: Any Postgraduate
