Jobs → Data & Analytics → Healthcare Data Systems Analyst

About the Role We are seeking a senior, hands-on Healthcare Data Systems Analyst to lead business and technical requirements analysis for healthcare data integration and modernization initiatives. This is primarily a Business/Data Analyst role with strong technical data analysis capabilities. Key Responsibilities • Lead stakeholder discovery sessions, requirements gathering, and clarification workshops • Analyze healthcare data across claims, enrollment, eligibility, provider, member, and clinical domains • Translate business requirements into functional specifications, technical requirements, user stories, and acceptance criteria • Develop source-to-target mappings, interface specifications, data dictionaries, and transformation requirements • Use advanced SQL to investigate datasets, validate business rules, identify discrepancies, and perform root-cause analysis • Conduct data profiling, reconciliation, and data quality validation • Document business rules, data flows, system dependencies, and integration requirements • Collaborate with architects, developers, Data Engineers, and QA teams • Support SIT/UAT, defect investigation, requirements traceability, and acceptance validation • Manage the analysis workstream independently in Agile environments Requirements • Healthcare Domain: Strong payer and/or provider experience, including claims, enrollment, eligibility, provider, member, and clinical data • Business & Functional Analysis: Requirements gathering, stakeholder management, functional specifications, user stories, and acceptance criteria • Advanced SQL: Complex queries, relational data analysis, data investigation, and business-rule validation • Data Mapping & Integration: Source-to-target mapping, interface specifications, transformation analysis, and data dictionaries • Data Quality & Validation: Data profiling, reconciliation, discrepancy analysis, and root-cause investigation • ETL/ELT & Data Warehousing: Strong understanding of data integration processes and warehouse structures • Agile Delivery: Experience with Jira, Confluence, SIT/UAT, and cross-functional delivery teams