What are the responsibilities and job description for the Help Desk/Data Quality Analyst in Indianapolis, IN (Hybrid) position at Super Technology Solutions, Inc.?
Job Details
One of our premier clients is looking for a Help Desk/Data Quality Analyst in Indianapolis, IN (Hybrid) for a contract position. If interested, please submit your resume ASAP indicating (1) current location (2) desired hourly rate, W2 or 1099? (3) Your email address.
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.
REQUIRED SKILLS:
Bachelor s degree in Public Health, Data Science, Information Systems, or related field (or equivalent work experience)
Strong proficiency in T-SQL (query writing, stored procedures, optimization, troubleshooting)
Experience working with large relational databases (SQL Server preferred)
Strong problem-solving skills with ability to analyze data issues and recommend corrective actions
Excellent communication skills for working with technical and non-technical stakeholders
Familiarity with immunization registries (IIS), HL7 messaging, or healthcare data standards
Experience with reporting tools (e.g., Power BI, Tableau) preferred
Knowledge of IIS data exchange standards (VXU, ACK, QBP)
Experience with data quality frameworks and record-matching techniques
Exposure to public health data systems or clinical data exchange
