Remote Healthcare Data & Analytics Specialist

FullStack; Little Rock (AR); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Paid time off

Health insurance

Dental insurance

Vision insurance

401(k) match

Career advancement

Education opportunities

Job summary

FullStack is seeking a Healthcare Data And Analytics Specialist to join our team. You'll work with our incredible clients in two ways: team augmentation and design & build on a FullStack product.

The ideal candidate has 5+ years in software engineering, data analysis, or data operations, advanced English, a four-year degree, and deep healthcare data experience including claims and PHI. Strong SQL, PostgreSQL, data quality, and CI/CD experience are required.

Qualifications

• 5+ years in software engineering, data analysis, or data operations.
• Advanced English proficiency.
• Four-year college degree completed.
• Deep experience with healthcare data including claims and PHI.
• Expertise in SQL to join datasets and build analytical logic.
• Experience with data validation, reconciliation, and data operations workflows.
• Knowledge of healthcare claims structures, utilization, and financial metrics.
• Experience creating recurring analytics, data dictionaries, and metrics.
• Familiar with PostgreSQL, SFTP, APIs or flat files.

Responsibilities

• Work with healthcare data across claims, eligibility, enrollment, or payer/TPA/PBM benefits.
• Investigate data issues and trace discrepancies across data ecosystems.
• Create recurring analytical reporting and data dictionaries for clients and executives.
• Collaborate on Agile/Scrum teams and contribute to libraries as needed.

Skills

Healthcare data

SQL

PHI/HIPAA

PostgreSQL

Agile/Scrum

Data quality monitoring

Data reconciliation

CI/CD

Education

Four-year college degree

Tools

SFTP

APIs

Flat files

Job description

FullStack is seeking a Healthcare Data And Analytics Specialist to join our team. You'll work with our incredible clients in two ways: team augmentation and design & build on a FullStack product.

The ideal candidate has 5+ years in software engineering, data analysis, or data operations, advanced English, a four-year degree, and deep healthcare data experience including claims and PHI. Strong SQL, PostgreSQL, data quality, and CI/CD experience are required.