Data Analyst - 4

C-HIT•Columbia, MD

8d•Remote

About The Position

This role focuses on designing and maintaining enterprise data architecture for structured and semi-structured healthcare data, supporting fraud, waste, and abuse detection efforts, and ensuring compliance with federal healthcare standards. The Data Analyst will be responsible for defining data models, implementing data governance, and supporting reporting and visualization needs for program integrity and operations. The position involves collaboration with various teams and adherence to Agile methodologies.

Requirements

Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field.
5+ years of experience in data architecture and/or data analysis.
Strong experience with data modeling (ER, dimensional, normalized models).
Proficiency in SQL and data analysis techniques.
Experience working with large enterprise data environments.
Must be eligible to obtain and maintain a Public Trust clearance.
In accordance with federal background investigation requirements, candidates must have physically resided in the United States for at least three (3) of the preceding five (5) years.

Nice To Haves

Experience supporting CMS, Medicaid, or federal healthcare programs.
Knowledge of HL7 FHIR and healthcare data standards.
Knowledge of CMS CPI systems like PECOS; APS.
Understanding of CMS Medicare Program Integrity Manual.
Experience with API-driven data integration (MuleSoft preferred).
Familiarity with Kafka or streaming data platforms.
Experience with cloud data platforms like AWS.

Responsibilities

Design and maintain enterprise data architecture for structured and semi-structured healthcare data.
Define logical, conceptual, and physical data models.
Establish data standards, naming conventions, and metadata management practices.
Support event-driven and API-based data architectures.
Align data architecture with CMS interoperability mandates (FHIR, HL7).
Analyze large healthcare datasets to identify patterns, trends, and anomalies.
Support fraud, waste, and abuse (FWA) detection efforts through data analysis.
Develop analytical datasets and data marts for reporting and investigations.
Partner with business stakeholders to translate requirements into data solutions.
Support data design for API Gateway integrations (MuleSoft or similar).
Ensure data consistency across Kafka streaming pipelines and batch sources.
Define data contracts and schemas for real-time data exchange.
Validate data transformations and mappings across source and target systems.
Implement data governance, lineage, and stewardship practices.
Monitor and improve data quality, accuracy, and completeness.
Support data audits, validations, and remediation efforts.
Ensure compliance with HIPAA, CMS, FISMA, and NIST standards.
Design and support reports, dashboards, and analytics for program integrity and operations.
Support ad-hoc data requests from investigators and oversight teams.
Work closely with architects, developers, QA, and security teams.
Participate in Agile ceremonies and data design reviews.
Maintain comprehensive documentation of data models, mappings, and architecture decisions.