Help Desk/Data Quality Analyst

Padmore Global Connections

  • Indianapolis, Indiana
  • 16 days ago

    Highlights

    The Help Desk/Data Quality Analyst supports the accuracy, completeness, and timeliness of immunization information systems (IIS). · Collaborate with providers, IIS staff, and public health partners to identify and resolve data submission errors.

    Numbers & Facts

    LocationIndianapolis, Indiana

    Description

    Work Arrangement: Hybrid

    Agency Interview Type: Webcam only

    Engagement Type: Contract

    NOTE: Applications with resumes in PDF Format will be automatically rejected. Only Word format resumes will be considered.

    Short Description:

    The Help Desk/Data Quality Analyst supports the accuracy, completeness, and timeliness of immunization information systems (IIS).

    Complete Description:

    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.

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