Data Analysis Project. In such data analyst projects the analyst needs to scrutinize data to recognize and identify patterns. The next thing data analysts do is use data modeling techniques to summarize the overall features of data analysis.
Responsbility
- 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 governancestrategies.
- Preparing final analysis reports for the stakeholders to understand the dataanalysis steps enabling them to take important decisions based on various facts and trends.
Another integral element of the data analyst
Qualifications
- Analytical Skills Data Analytics and Statistics
- Excellent communication skills
- Experience in data modeling
- Strong in Excel and Google sheets
- Ability to analyze and interpret large volume of data
- Proficiency in relevant data analytics tools and software
- Strong problemsolving abilities
- Attention to detail
- A degree in a relevant field such as Data Science Statistics or Mathematics is preferred
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