Business Analyst at CAI in Pennsylvania

Business Analyst Location: PA-CLIENT-STATE Business Analyst Req number: R7669 Employment type: Full time Worksite flexibility: Hybrid Who we are CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary As the Business Analyst, you will bridge business needs with technical execution—translating requirements into data mappings, validating data flows, and supporting scalable, high reliability data integrations across clinical and administrative systems. Job Description We are seeking a Sr.Business Analyst who will bridges business needs with technical execution—translating requirements into data mappings, validating data flows, and supporting scalable, high reliability data integrations across clinical and administrative systems. This role is remote and full-time. What You'll Do Data Pipelines & Integration Support Manage and support all ELT processes, ensuring data quality, reliability, and on time delivery across diverse source systems Troubleshoot data pipeline failures, data quality exceptions, and ingestion issues across cloud and on prem environments Oversee SmileCDR operations including configuration, deployment coordination, debugging, and monitoring to meet CMS ONC mandates FHIR / HL7 Interoperability Perform detailed mapping of source data to FHIR R4 resources, profiles, and implementation guides (PDex, Patient Access API, Provider Access API, etc.) Validate FHIR transactions and APIs via tools like Postman, SmileCDR, and custom validation frameworks Technical Business Analysis & Requirements Partner with architects and engineers to translate business requirements into actionable data specifications, API requirements, and process workflows Perform detailed impact assessments, system analysis, and data lineage documentation Testing & Quality Assurance Conduct end to end validation of ELT pipelines, FHIR resources, API payloads, and cross-system data reconciliation Support automated and manual testing for data accuracy, schema changes, and interoperability compliance Customer & Stakeholder Engagement Collaborate with internal and external customers to gather requirements, define acceptance criteria, and guide solution design Communicate complex data and interoperability concepts to both technical and non technical audiences Documentation & Governance Develop comprehensive documentation including data dictionaries, mapping documents, business rules, SOPs, and interoperability artifacts Contribute to data governance, quality, and metadata initiatives aligned with CMS interoperability requirements What You'll Need Required: Education: Bachelor’s degree in Computer Science, Information Systems, Data Management, or related field; Master’s preferred Experience: 5+ years as a Business Analyst with strong exposure to data engineering, APIs, interoperability, or healthcare data systems Technical Skills: Strong knowledge of ELT processes, SQL, JSON, APIs, and data validation techniques Hands on understanding of FHIR R4, HL7, and healthcare data (claims, clinical, member, provider, etc.) Experience with data mapping, transformation logic, and source to target specifications Soft Skills: Excellent communication, structured problem solving, stakeholder engagement, documentation, and cross functional collaboration Preferred: Hands on experience with SmileCDR, HAPI FHIR, or other interoperability platforms Certifications in business analysis, data engineering, cloud data platforms, or interoperability standards Industry knowledge of CMS ONC Interoperability, Patient Access API, PDex, NDH, and payer-to-payer exchange requirements Experience with Confluent (Managed Connectors/Kafka), Apache Flink, or similar streaming frameworks Exposure to Monte Carlo Data Observability or similar data quality/lineage/monitoring platforms Familiarity with modern data lakehouse and query engines such as Apache Iceberg and Starburst Experience with dbt (data build tool) for modeling, transformations, lineage, and analytics engineering workflows Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111. $60.00-$63.00 per hour The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages include medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.