Business Analyst

Job Title: Business Analyst - CMS ONC Interoperability

Location: 100% Remote but prefer local candidates (Pittsburgh) who would be able to work onsite 2-3 days a week

Duration: 4 Months with possible extension

Job Description:
The Business Analyst will play a critical role in enabling end to end interoperability solutions within the CMS ONC ecosystem. This position requires strong technical fluency across modern data engineering patterns, API-driven interoperability, and ELT/ETL workflows. The ideal candidate will support complex data pipelines, SmileCDR operations, and FHIR-based data exchange while partnering closely with engineering, architecture, compliance, and external customers.
This role 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.

Key Responsibilities
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.

Qualifications
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:
o Strong knowledge of ELT processes, SQL, JSON, APIs, and data validation techniques.
o Hands on understanding of FHIR R4, HL7, and healthcare data (claims, clinical, member, provider, etc.).
o 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 Qualifications (Updated as requested)
• 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.