Senior HL7 Healthcare Data & Systems Analyst (Data Quality Analyst) - Remote

Senior HL7 Healthcare Data & Systems Analyst (Data Quality Analyst) - Remote

We are looking for an adaptable, highly autonomous Data & Systems Analyst for the state's ADT (Admit, Discharge, Transfer) program. We are looking for an analytical problem-solver who thrives in ambiguity. The ideal candidate will not just wait for step-by-step instructions but will take high-level business questions and independently navigate complex database structures to find the answers. This role is foundational: you will be responsible for mapping existing data architecture, performing rigorous data quality analysis, comparing our data against healthcare industry standards, and laying the clean groundwork required for future downstream reporting.

Key Responsibilities

• Data Discovery & Mapping: Reverse-engineer and document existing database structures. Create comprehensive, clearly labeled data dictionaries for the Illinois ADT program.
• Autonomous Problem Solving: Translate high-level business inquiries (e.g., "What is the timeline of vendor HL7 messages?") into technical execution. Must be able to independently locate the correct tables, fields, and data sources without granular instruction.
• Data Quality Analysis (DQA): Analyze HL7 healthcare data sources to identify inaccuracies, gaps, and anomalies. Determine whether the data is whole, complete, and ready for reporting.
• Architectural Research: Compare client's internal data sources against current industry standards and the broader IT architecture, identifying and illustrating inefficiencies or areas for improvement.
• Cross-Departmental Evangelism: Assist in the development of presentations, slide decks, and documentation to clearly educate other client areas on the ADT program’s architecture and the potential value of its data.
• Reporting Foundations: Transition clean, documented data into actionable reports, assisting in report development as the project matures.

Required Characteristics & Core Competencies

• Self-Directed & Analytical: A natural researcher who acts on broad statements of need rather than requiring highly specific, task-level directives.
• Database Fluency: Strong familiarity with structured database design and relational data models.
• High-Capacity Learner: A smart, driven individual willing to quickly learn the nuances of our specific environment. We value aptitude and adaptability over knowing every specific tool on day one.
• Communication Skills: Ability to bridge the gap between complex technical data and non-technical stakeholders through clear documentation and presentation design.
• Domain Knowledge: Familiarity with HL7 messaging and healthcare data standards (or a proven ability to grasp complex industry standards quickly).

Preferred Qualifications (Nice-to-Have)

• Experience using Tableau (or similar Business Intelligence tools) for data visualization and report creation.
• Previous experience operating within state government or large-scale healthcare IT environments.