Data Analyst
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Job Description
Data Analyst designing healthcare data architectures and analytics for C-HIT. Supporting federal program integrity, interoperability, governance, and compliance initiatives.
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, including FHIR and HL7
- Analyze large healthcare datasets to identify patterns, trends, and anomalies
- Support fraud, waste, and abuse detection efforts through data analysis
- Develop analytical datasets and data marts for reporting and investigations
- Translate stakeholder requirements into data solutions
- Support API Gateway integrations using MuleSoft or similar technologies
- 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
- Collaborate with architects, developers, QA, and security teams
- Participate in Agile ceremonies and data design reviews
- Maintain documentation of data models, mappings, and architecture decisions
- Adhere to company information security requirements and policies
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, including ER, dimensional, and 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
- Must have physically resided in the United States for at least three of the preceding five years
- Experience supporting CMS, Medicaid, or federal healthcare programs preferred
- Knowledge of HL7 FHIR and healthcare data standards preferred
- Knowledge of CMS CPI systems such as PECOS and APS preferred
- Understanding of the CMS Medicare Program Integrity Manual preferred
- Experience with API-driven data integration; MuleSoft preferred
- Familiarity with Kafka or streaming data platforms preferred
- Experience with cloud data platforms such as AWS preferred
Benefits:
- Healthcare Benefits
- Remote Working Options
- Paid Time Off
- PTO cash-out
- Training/Certification opportunities
- Healthcare Savings Account
- Flexible Savings Account
- Paid Life Insurance
- Short-term Disability
- Long-term Disability
- 401K Match
- Profit sharing
- Employee Assistance Program
- Paid Holidays
- Voluntary benefits
- Additional perks
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