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Immunization Data Analyst Jobs (NOW HIRING)

Oracle

Principal HR Data Analyst

Nashville, TN · On-site

The Principal HR Data Analyst leverages advanced analytics, data science, and workforce insights to ... immunization/occupational health mandates, and/or drug testing requirements. Range and benefit ...

Oracle

Principal HR Data Analyst

Nashville, TN

The Principal HR Data Analyst leverages advanced analytics, data science, and workforce insights to ... immunization/occupational health mandates, and/or drug testing requirements. Range and benefit ...

Oracle

Principal HR Data Analyst

Nashville, TN · On-site

The Principal HR Data Analyst leverages advanced analytics, data science, and workforce insights to ... immunization/occupational health mandates, and/or drug testing requirements. Range and benefit ...

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Immunization Data Analyst information

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$34K

$82.6K

$136K

How much do immunization data analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for immunization data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Immunization Data Analyst jobs?

For Immunization Data Analyst jobs, the most frequently searched job titles are:

Help Desk/Data Quality Analyst in Indianapolis, IN - Onsite

Indianapolis, IN • On-site

Techmorgonite Software Solutions LLC
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Techmorgonite Software Solutions LLCexternal

$38/hr

Contractor

Re-posted 7 days ago

Job description

Role- Help Desk/Data Quality Analyst
Location- Indianapolis, IN - Onsite
Project Duration- 9+ Months
Mode of interview - Video
 
Job Description:
 
The Help Desk/Data Quality Analyst supports the accuracy, completeness, and timeliness of immunization information systems (IIS).
 
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   SkillRequired /DesiredAmountof ExperienceBachelor’s degree in Public Health, Data Science, Information Systems, or related field (or equivalent work experience)Required0 Strong proficiency in T-SQL (query writing, stored procedures, optimization, troubleshooting)Required5YearsExperience working with large relational databases (SQL Server preferred)Required5YearsStrong problem-solving skills with ability to analyze data issues and recommend corrective actionsRequired5YearsExcellent communication skills for working with technical and non-technical stakeholdersRequired5YearsFamiliarity with immunization registries (IIS), HL7 messaging, or healthcare data standardsHighly desired0 Experience with reporting tools (e.g., Power BI, Tableau) preferredHighly desired0 Knowledge of IIS data exchange standards (VXU, ACK, QBP)Highly desired0 Experience with data quality frameworks and record-matching techniquesHighly desired0 Exposure to public health data systems or clinical data exchangeHighly desired0