Position title: Lead Requirement Analyst – ONLY LOCALS – ONLY GC or USC
Location: Washington, DC
Duration: 6 Months+
Required Skills
• Candidate must demonstrate solid knowledge of Health Care Claims processing.
• Candidate must demonstrate experience in one or more of the following Healthcare domains:
o Medicare/OPL Claims Processing o HIPAA Transactions (837, 270/271, 276/277) o 4010 to 5010 Conversion o Healthcare Plans (Commercial and Government) o Benefits Administration o Coordination of Benefits o ICD Codes
• Candidate must demonstate ability to lead a requirements development initiative using the appropriate IIBA and PMP methodologies, tools and techniques.
• Candidate must lead and execute the various requirements analysis techniques required to deliver a successful project.
• Candidate must have deep knowledge/experience in using various requirements analysis techniques such as:
o Context Data Flow Diagram o Entity Relationship Diagram o Glossary o Process Decomposition Diagram o Decision Tables o Workflow Diagramming o Use Case Modeling o User Stories o Prototyping o Translate Business Rules into Decision Table Models o Document “AS IS” and “TO BE” processes
• Candidate must demonstrate strong verbal and written communication skills to:
o Conduct walkthroughs with internal and external teams.
o Elaborate business requirements o Produce functional specifications, user interface specifications, business rules, use cases, and/or data dictionaries
• Candidate’s ability to analyze existing system processes is a plus
• Candidate should demonstrate knowledge of skills to perform data analytics such as knowledge of basic SQL queries
Software & Tools:
MS Office suite of products, SharePoint, modeling tools, HP ALM, Adobe Acrobat
Navya
703-953-1819
If my requirement matches your resume, then please do reply on my email id navyar(at)usmsystems(dot)com and contact no is 703-953-1819
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Supports the maintenance and development of the extract transform and load (ETL) aspects of the data warehouse.