Job Description

Job Description

Opportunities for EDI Analyst I, II, and Task Leader

Location: Within Chicago City Limits

Federal Government Contract

Key Duties

• Data Collection: Gather information from various sources, such as surveys, databases, and economic indicators. Aggregate data from thousands of employers
• Data Processing: Receives and processes electronic data files submitted by businesses.
• Data Verification: Reviews the submitted data for accuracy and ensures it meets the required formats and standards.
• Data Analysis: Apply mathematical and statistical tools to organize, interpret, and summarize data. .
• Reporting: Create reports, memos, and other documents to communicate findings and recommendations to stakeholders.
• Problem Solving: Identify problems or areas for improvement within data sources and provide feedback to submitting companies,
• Data Visualization: Utilize software to present complex data and analysis in an understandable format.
• System Maintenance: Maintains the EDI systems to ensure accurate data flow and compliance with partner requirements.
• Troubleshooting: Identifies and resolves issues with data transmission or content in EDI files.
• Inter-Agency Coordination: Acts as the primary point of contact for reporting firms and routes data to relevant agencies.

Key Responsibilities

• File Management: Configuring and maintaining EDI maps and communication protocols.
• Compliance: Ensuring that transmitted data complies with industry standards and the specific format guidelines provided, which typically involve flat file formats.
• Data Accuracy: Monitoring daily EDI transactions to detect and correct any failures or discrepancies in data.

Key Skills

• Strong math, statistics, and communication abilities, along with proficiency in data analysis.
• Combine and Analyze large datasets, identify trends, and extract relevant information.
• Communication: Explain technical concepts and solutions clearly to both technical and non-technical audiences.
• Computer Skills: Proficiency in data aggregation, management and analysis software for data analysis.
• Attention to Detail: Carefully examine systems and data to detect minor changes and ensure accuracy.

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