K3-Innovations, Inc.

Collect, process, verify, analyze, and report on large datasets while maintaining EDI systems and ensuring data compliance. | Strong math, statistics, communication skills, proficiency in data analysis software, attention to detail, and experience with EDI file management and compliance. | 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.