Aptive Cyber Security · 3 days ago
Senior Data Analyst
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ConsultingCyber Security
Insider Connection @Aptive Cyber Security
Responsibilities
Participate in the planning and execution of project tasks while responding to client requests.
Work independently and as a team member to support activities related to contract requirements.
Collaborate with team members and the client to understand data requirements and implement solutions.
Profile VHA data sources and identify data quality issues.
Execute data cleansing tasks to resolve data anomalies and exceptions.
Track and report daily/monthly workload metrics and statistics related to data migration workload.
Document processes and findings related to the research and resolution of data discrepancies and anomalies.
Adhere to client standard policies and procedures.
Qualification
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Required
Bachelor’s degree and eight (8) years’ experience in health care analytics.
At least 2 years’ experience with data quality analysis and data cleansing.
At least 2 years’ experience with VHA systems and data, including but not limited to: Corporate Data Warehouse (CDW); Veterans Health Information Systems and Technology Architecture (VistA); VHA Support Service Center (VSSC); VHA Reports and Measurement Portal (RAMP); Patient Treatment File (PTF); MedSAS; Managerial Cost Accounting (MCA) System; Primary Care Management Module (PCMM); The National Patient Care Database (NPCD); Veterans Services Network Corporate Mini Master File (VETSNET File); etc.
Competent with visualization tools such as Power BI and Tableau.
Must be eligible to obtain and maintain a public trust clearance.
Legal authorization to work in the U.S.
Preferred
Registered Health Information Administrator (RHIA) degree, Business, Public Health, Informatics, Computer Science, or Data Analytics.
Excellent communication skills to technical and non-technical audiences.
Experience with data profiling, cleansing, validation, and verification related to data migration processes.
Demonstrated success systematically resolving data anomalies and exceptions.