Quality Management System Data Analyst

State of Iowa•Des Moines - 50319 - Polk County, IA

2d•Hybrid

About The Position

The Iowa Department of Health and Human Services (HHS), Division of Medicaid, Systems, Data and Analytics team is seeking a skilled, detail-oriented, and forward-thinking QMS (Quality Management System) Data Analyst to support and enhance our statewide data quality and analytics strategy. This role is central to improving how Iowa Medicaid measures performance, monitors quality, and exchanges data with partners. You’ll work across programs, compliance, and IT teams to build scalable data solutions that directly improve health outcomes for Iowans.

Requirements

Strong SQL skills and experience with complex data systems.
Proven analytical and statistical capabilities.
Ability to collaborate across IT, compliance, and program teams.
Commitment to data quality, governance, and continuous improvement.
Six months’ experience, 12 semester hours, or a combination of both using Microsoft SQL toolset within no more than 2 major versions of the current release.
Six years of full-time work experience in business/data/statistical analytics, economic research, or data science.
Graduation from an accredited four-year college or university with a degree in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management, and experience equal to two years of full-time work.
A total of four years of education and/or full-time experience in business/data/statistical analytics, economic research, or data science, where thirty semester hours of accredited college or university coursework in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management equals one year of full-time experience; and a total of two years of graduate-level education and/or full-time experience, where twenty-four semester hours of accredited graduate college or university coursework in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management equals one year of full-time experience.
A total of four years of education and/or full-time experience in business/data/statistical analytics, economic research, or data science, where thirty semester hours of accredited college or university coursework in any field equals one year of full-time experience; and graduation from an accredited college or university with a Master’s degree in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management.
Two years of full-time work experience in business/data/statistical analytics, economic research, or data science; and a total of four years of education and/or full-time experience, where thirty semester hours of accredited college or university coursework in any field equals one year of full-time experience; and possession of a professional certificate in data science, business analytics, or data analytics.
Current, continuous experience in the state executive branch that includes eighteen months of full-time work as a Data Analyst 1.

Nice To Haves

Experience with modern data systems that support better outcomes for Iowans.

Responsibilities

Build and scale analytic models to support quality monitoring.
Partner with Department of Management IT (DOM-DoIT) to develop data pipelines and reporting tools.
Create SQL-based data extracts from the Medicaid Data Warehouse.
Assess new reporting needs and recommend improvements.
Conduct descriptive and diagnostic analyses to support stakeholders.
Prioritize and integrate new datasets (Child Welfare, InterRAI, PASRR, etc.) into the data warehouse.
Support Data Sharing Agreements and clarify analytic use cases.
Ensure data accuracy and alignment with governance standards.
Implement automation to streamline data ingestion and refresh.
Identify datasets needing improved exchange with Managed Care Organizations (MCOs) and vendors.
Provide technical guidance on proposed data changes and warehouse updates.
Monitor and improve data quality and exchange reliability.
Consolidate and maintain source system and warehouse documentation.
Develop QMS data dictionaries and metadata.
Support ongoing data governance and adhere to privacy and security standards.