Data Governance Analyst (Data Visualization/Modeling/Cleansing/Diagramming)

$89,440 - $93,600/Yr

Infobahn Softworld - North Chicago, IL

Full-time - Entry Level

North Chicago, IL

Professional, Scientific, and Technical Services

About the position

The Data Governance Analyst plays a crucial role in managing and analyzing data to ensure its quality and usability for decision-making processes within the organization. This position involves collecting, processing, and analyzing large datasets to extract meaningful insights that can drive business strategies. The analyst will be responsible for developing and maintaining databases and data systems, ensuring that data is organized in a readable format. They will perform thorough analyses to assess the quality and meaning of data, filtering it by reviewing reports and performance indicators to identify and correct any issues. In addition to data management, the analyst will utilize statistical tools to identify, analyze, and interpret patterns and trends in complex datasets, which can aid in diagnosis and prediction. They will assign numerical values to essential business functions, allowing for the assessment and comparison of business performance over time. The role also requires analyzing local, national, and global trends that impact the organization and the industry, preparing comprehensive reports for management that highlight trends, patterns, and predictions based on relevant data. Collaboration is key in this role, as the analyst will work closely with programmers, engineers, and management to identify opportunities for process improvement, propose system modifications, and devise effective data governance strategies. They will prepare final analysis reports for stakeholders, ensuring that the data-analysis steps are clear and enabling informed decision-making based on various facts and trends. The analyst will also be responsible for scrutinizing data to recognize and identify patterns, using data modeling techniques to summarize the overall features of data analysis, and employing automated tools to extract data from primary and secondary sources. Furthermore, they will be tasked with removing corrupted data and fixing coding errors to maintain data integrity.

Responsibilities

• Developing and maintaining databases and data systems, reorganizing data in a readable format.
• Performing analysis to assess the quality and meaning of data.
• Filtering 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.
• Assigning numerical value to essential business functions to assess and compare business performance over time.
• Analyzing local, national, and global trends that impact the organization and the industry.
• Preparing reports for management stating trends, patterns, and predictions using relevant data.
• Collaborating with programmers, engineers, and management to identify process improvement opportunities and propose system modifications.
• Preparing final analysis reports for stakeholders to understand data-analysis steps.
• Scrutinizing data to recognize and identify patterns.
• Using 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.

Requirements

• Bachelor's degree in Information Technology, Data Management, Computer Science, or a related field.
• Strong analytical capabilities with attention to detail and accuracy.
• Expertise in Microsoft Excel and various business intelligence and analytical tools.
• Understanding of data gathering, inspecting, cleansing, transforming, and modeling/diagramming techniques.
• Knowledge of data analysis, data modeling, and data visualization.

Nice-to-haves

• Data governance and quality understanding, including principles and management.
• Experience with data cleaning and preparation, including removing errors and identifying outliers.
• Familiarity with statistical tests and tools, including mean, median, variance, standard deviation, correlation, regression, and hypothesis testing.
• Ability to create dashboards and reports using tools like Power BI and Microsoft Word.
• Experience with data visualization tools and libraries such as Tableau, Power BI, Matplotlib, and Seaborn.

Benefits

• Competitive hourly pay of $43 - $45.
• Opportunity to work in a dynamic and collaborative environment.
• Gain experience in data governance and quality management.