Data Analyst

Responsibilities:

• 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.