Senior Healthcare Data & Analytics Specialist (Remote)

FullStack; Las Vegas (NV); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Paid time off

100% remote work

Health, dental, and vision insurance

401(k) with match

Career advancement opportunities

Continuing education opportunities

Job summary

FullStack is seeking a Healthcare Data And Analytics Specialist to join our team. The role involves working directly with clients either as part of their team or on a FullStack product team to build analytics solutions.

The ideal candidate has 5+ years in software engineering, data analysis, or data operations, with advanced English, a four-year degree, and deep experience in healthcare data, including claims and benefit structures.

Qualifications

• 4-year college degree required.
• Experience with healthcare data (claims, enrollment, benefits).
• Strong SQL skills and ability to build maintainable analytical logic.
• Familiarity with HIPAA, PHI, and data security controls.
• Experience in Agile/Scrum environments.
• Proven track record of data quality monitoring and reconciliation.

Responsibilities

• Work with healthcare data including medical and pharmacy claims, eligibility, enrollment, or payer/TPA data.
• Create recurring analytics reporting, data dictionaries, and metric definitions for clients or executives.
• Investigate data issues and trace discrepancies across data ecosystems.
• Maintain data validation, quality monitoring, and data operations workflows.
• Collaborate on Agile/Scrum teams to deliver analytics products.

Skills

SQL querying

Healthcare data analysis

Data quality monitoring

Data reconciliation

Agile/Scrum

Ownership

Education

Bachelor's degree

Tools

PostgreSQL

APIs

Flat files

Job description

FullStack is seeking a Healthcare Data And Analytics Specialist to join our team. The role involves working directly with clients either as part of their team or on a FullStack product team to build analytics solutions.

The ideal candidate has 5+ years in software engineering, data analysis, or data operations, with advanced English, a four-year degree, and deep experience in healthcare data, including claims and benefit structures.