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Using automated tools to extract data from primary and secondary sources
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 that 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 some time
Removing corrupted data and making recommendations for fixing coding errors and related problems
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, software engineers, and team leads 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 make important decisions based on various facts and trends
Other relevant tasks as assigned to the employee.
Requirements:
Proven experience as a Data Analyst.
Excellent analytic skills
Intuitive and proactive skills
Technical expertise regarding data models, database design and development, data mining, and segmentation techniques especially on Metabase.
Attention to detail
Problem-solving skills
Time-management skills
Basic programming experience with frameworks, including Python and SQL.
Interpersonal skills.
Good written and verbal communication.
Good at queries, report writing, and presenting findings to stakeholders.