Job
Description
Key Responsibilities: Collaborate with business stakeholders, product owners, and development teams to gather and analyze business and data requirements in healthcare-related projects. Translate business needs into detailed functional and non-functional specifications, user stories, and data mapping documents. Perform end-to-end data validation to ensure accuracy, consistency, and completeness of healthcare data across systems. Understand and document data flows across multiple healthcare platforms (e.g., EHRs, claims systems, data warehouses). Create and execute test cases for data validation and ensure data quality before, during, and after implementation. Support UAT (User Acceptance Testing) by validating data outputs and resolving data-related issues. Identify data discrepancies and anomalies, investigate root causes, and recommend solutions. Work with data engineers and QA teams to develop validation rules, test plans, and automated checks. Prepare comprehensive documentation, including business requirement documents (BRDs), data dictionaries, traceability matrices, and validation reports. Maintain compliance with HIPAA and other healthcare regulations when handling sensitive data. Required Qualifications: Bachelor's degree in Computer Science, Information Systems, Healthcare Administration, or a related field. 3+ years of experience as a Business Analyst, preferably in the Healthcare industry . Strong experience in data validation , data profiling , and data quality assessment . Familiarity with healthcare data standards such as HL7, FHIR, ICD, CPT, LOINC, EDI 837/835 , etc. Proficiency in writing SQL queries for data extraction, analysis, and validation. Experience working with tools like Excel, JIRA, Confluence, and data visualization/reporting tools (e.g., Tableau, Power BI). Solid understanding of healthcare workflows, payer-provider interactions, or clinical data. Excellent communication, analytical thinking, and documentation skills. Preferred Qualifications: Experience with cloud data platforms (e.g., AWS, Azure) or healthcare data lakes. Knowledge of ETL processes and working with data engineering teams. Familiarity with Agile/Scrum methodologies. Certification in healthcare analytics or business analysis (e.g., CBAP, PMI-PBA, AHIMA, or similar).
