Overview
On Site
USD 38.04 per hour
Full Time
Skills
Help Desk
Transact-SQL
Health Care
Collaboration
Public Health
Dashboard
Performance Metrics
Regulatory Compliance
HL7
Microsoft IIS
Microsoft Exchange
Mapping
Process Improvement
Data Quality
Leadership
Job Details
A client of Sharp Decisions is looking for a Help Desk/Data Quality Analyst (Indiana) located in Indianapolis, IN 46204 (Need only local candidate). The pay rate is $ $38.04 per hour.
Key Responsibilities:
Perform data quality assessments on immunization records, including de-duplication, validation, and standardization.
Write and optimize T-SQL queries to analyze, clean, and transform large healthcare datasets.
Collaborate with providers, IIS staff, and public health partners to identify and resolve data submission errors.
Develop data quality dashboards, reports, and performance metrics to track provider compliance and system accuracy.
Support implementation of HL7 and IIS data exchange standards by validating message integrity and field mapping.
Investigate data anomalies, troubleshoot submission issues, and recommend process improvements.
Document data quality rules, methodologies, and best practices for internal and external stakeholders.
Preparing reports for leadership that effectively communicate trends, patterns, and predictions using relevant data.
Perform other duties as assigned.
Key Responsibilities:
Perform data quality assessments on immunization records, including de-duplication, validation, and standardization.
Write and optimize T-SQL queries to analyze, clean, and transform large healthcare datasets.
Collaborate with providers, IIS staff, and public health partners to identify and resolve data submission errors.
Develop data quality dashboards, reports, and performance metrics to track provider compliance and system accuracy.
Support implementation of HL7 and IIS data exchange standards by validating message integrity and field mapping.
Investigate data anomalies, troubleshoot submission issues, and recommend process improvements.
Document data quality rules, methodologies, and best practices for internal and external stakeholders.
Preparing reports for leadership that effectively communicate trends, patterns, and predictions using relevant data.
Perform other duties as assigned.
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