Job Description

We are seeking a talented EDI analyst for US healthcare data wrangling, Data validation, data transformation activities for US Health care domain. You will be working with US clients to receive the data and prepare the same for AI analytics purpose. Well versed with US Healthcare Domain Electronic Medical Record (EMR) & Medical Billing.To be successful as an EDI analyst, you should have in-depth knowledge of US Healthcare data knowledge, transformation methods, tools, HIPAA security requirements, Data Security, managing and maintain the data. An expert EDI analyst should be able to design and install a scalable, user-friendly system that perfectly meets the needs of the client.Our Healthcare domain IT Client already holds US Patent on its solution within 2 years of its inception has been filing more. The candidate will have opportunities to develop innovative solutions and have patent in their name as part of the company.EDI Analyst Requirements:Overall, 15-20 years in IT industry with minimum 5 years in US Health Care EDI data translation.

• Advanced knowledge of advanced excel, SQL Server, RDBMS.
• Thorough understanding of the SDLC with proficiency in mapping Business Requirements, Technical Documentation, Data Transformation, Integration, Testing and Troubleshooting for Information Systems Management.
• Adept in business process analysis and design, and application-based process reengineering.
• Good communication and interpersonal skills.
• Must have Health care certification such as CCHIT, Meaningful use Stage 1, Sure scripts e-prescription and HL7 Both inward and outward lab modules.

Qualification: Bachelor\'s/masters degree in computer science, information technology or Health Care.Sr US Health Care EDI Expert Responsibilities:

• Meeting with clients to discuss their data transformation needs.
• Analysing business systems, Data transformation tools like EDI and data storage facilities.
• Familiar with HL7 standards, X12 standards, HIPAA compliance and cross border Data Security requirements
• Testing and debugging the system.
• Gathering user feedback on the accuracy, efficiency, and functionality of the system.
• Adjusting and customizing the system based on user feedback.
• Deploying completed systems and providing maintenance support.
• Training end-users on the proper use of the system.

Expertia AI Technologies