The Fountain Group is a national staffing firm and we are currently seeking a Data Analyst II for a prominent client of ours. This position is in Waukegan, IL 60085. Details for the position are as follows:
Job Description:
- $44 - $47/hour based on previous experience.
- 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 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.
- Scrutinize data to recognize and identify patterns.
- Use data modeling techniques to summarize the overall features of data analysis.
- Using automated tools to extract data from primary and secondary sources.
- Removing corrupted data and fixing coding errors and related problems.
Qualifications:
- Bachelor's degree in Information Technology, Data Management, Computer Science, or a related field
- Strong analytical capabilities
- Expert with Microsoft Excel and various business intelligence and analytical tools
- Understanding of data gathering, inspecting, cleansing, transforming, and modeling/diagramming techniques
- Data analysis, Data modeling and Data visualization knowledge.
- Data governance and quality (preferred) - understanding of data governance principles, data quality management.