Help Desk / Data Quality Analyst

Local candidates only.

This role ensures that data submitted by healthcare providers is validated, standardized, and transformed into actionable insights. A strong foundation in T-SQL is essential for managing large data sets, troubleshooting data quality issues, and developing automated validation processes.

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.

Skill

Required / Desired

Amount

of Experience

Bachelor's degree in Public Health, Data Science, Information Systems, or related field (or equivalent work experience)

Required

Strong proficiency in T-SQL (query writing, stored procedures, optimization, troubleshooting)

Required

Years

Experience working with large relational databases (SQL Server preferred)

Required

Years

Strong problem-solving skills with ability to analyze data issues and recommend corrective actions

Required

Years

Excellent communication skills for working with technical and non-technical stakeholders

Required

Years

Familiarity with immunization registries (IIS), HL7 messaging, or healthcare data standards

Highly desired

Experience with reporting tools (e.g., Power BI, Tableau) preferred

Highly desired

Knowledge of IIS data exchange standards (VXU, ACK, QBP)

Highly desired

Experience with data quality frameworks and record-matching techniques

Highly desired

Exposure to public health data systems or clinical data exchange

Highly desired