IN - IDOH 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.

Required / Desired Skills

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

Questions

No.

Question

Question1

Absences greater than two weeks MUST be approved by CAI management in advance, and contact information must be provided to CAI so that the resource can be reached during his or her absence. The Client has the right to dismiss the resource if he or she does not return to work by the agreed upon date. Do you accept this requirement?

Question2

Please list candidate's email address.

Question3

Candidate must be local to Indianapolis. Please provide current home address.

Question4

Candidate must be paid $38.04 if selected for engagement.

Do you accept this requirement?

Question5

Selected resource will be required to work onsite 3 days per week and 2 days remote. Please confirm the resource understands this requirement.

Question6

This is a right to hire position. Only candidates eligible for hire without needing sponsorship can be submitted for consideration.