CONTRACTUAL WORKER

State of Illinois•Springfield, IL

1d•$10,000 - $12,000•Onsite

About The Position

The Department of Healthcare and Family Services is seeking a highly skilled and detail-oriented Senior Data Analyst to support the agency’s data-driven initiatives and provide valuable insights that inform decision-making and improve outcomes across the Illinois Medicaid program. This hands-on role will analyze, interpret, and manage complex data strengthen delivery, enhance program performance, and improve service delivery. The ideal candidate will bring a strong combination of analytical acumen and technical expertise, using data to advance health equity and support HFS’s mission of delivering comprehensive, high-quality healthcare coverage to Illinois residents. HFS values employees with different backgrounds, life experiences, and talents. If you are seeking a new opportunity, and this position appeals to you, please apply today! At the Illinois Department of Healthcare and Family Services (HFS), we value staff as our greatest asset. We work in a spirit of teamwork to help millions of Illinoisans access high quality healthcare and fulfill child support obligations to advance their physical, mental, and financial well-being. We provide healthcare coverage for children and adults through Medicaid and other medical programs, and we help ensure that children receive financial resources from both their parents through Child Support Services. The HFS Office of the Inspector General investigates, audits and reviews program activity to ensure the integrity of our programs is maintained. HFS is committed to promoting and preserving a workplace culture that embraces diversity, equity, and inclusion. We welcome and value employees with different backgrounds, life experiences, and talents. It is the collective sum of our individual differences that provides a broad perspective, leading to greater innovation and achievement. In recruiting for our team, we recognize the unique contributions of each applicant regardless of culture, ethnicity, race, national origin, sex, gender identity and expression, age, religion, disability, and sexual orientation. HFS is an equal opportunity employer.

Requirements

Requires a Bachelor’s degree in computer science, information technology, business or related field
Requires a minimum of three (3) years working hands on with SQL or similar query languages

Nice To Haves

Three (3) years of experience performing hands-on data analysis using SQL or similar query languages
Three (3) years of experience supporting or maintaining data interfaces, integrations, or ETL processes between multiple systems or vendors
Three (3) years of experience of demonstrating analytical and problem-solving skills using data to identify issues, trends, or process improvements
Three (3) years of experience working with structured data formats such as flat files (CSV, XML, JSON) to validate, transform, and integrate data
Three (3) years of experience using secure file transfer methods such as SFTP, FTPS, or similar automated data exchange tools
Three (3) years of experience of working knowledge of data security practices, confidentiality requirements, or compliance with state and federal data privacy standards
Two (2) years of experience working with Medicaid eligibility or enrollment systems such as MMIS, IES, or Managed Care Organization (MCO) data platforms
Two (2) years of experience validating data accuracy and documenting findings or processes to support cross-team collaboration and system integrity

Responsibilities

Perform advanced SQL-based data analysis, extraction, and validation to support reporting, auditing and operational needs
Identify and resolve data discrepancies and quality issues through root-cause analysis and corrective action
Support and troubleshoot data interfaces between the Department’s systems, vendor platforms, and external partners
Process and transform large volumes of flat files (CSV, XML, JSON) for integration across Medivaid and internal data systems
Develop, monitor, and maintain secure data exchanges using SFTP/FTPS and related automated tools

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