Remote Healthcare Data & Analytics Specialist

Talentify; San Antonio (TX); Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

100% remote work

Health, dental, and vision insurance

401(k) with 4% match

Career advancement opportunities

Continuing education opportunities

Job summary

FullStack is seeking a Healthcare Data and Analytics Specialist to join our team. You will work with clients to analyze healthcare data, build reliable analytics, and ensure data quality across systems.

Ideal candidates bring 5+ years in data engineering or analytics, deep healthcare data knowledge, and strong SQL skills. This is a 100% remote role with opportunities to impact Fortune 500 clients.

Qualifications

• 5+ years of professional software engineering, data analysis, or data operations experience.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Deep experience in working with healthcare data, including medical claims, pharmacy claims, eligibility, enrollment, or payer/TPA/PBM benefits.
• Expertise in using SQL to join complex datasets, investigate discrepancies, and construct maintainable analytical logic.
• Solid background in healthcare data validation, reconciliation, data quality monitoring, and data operations workflows.

Responsibilities

• Analyze healthcare data across sources and ensure accuracy.
• Validate data quality, reconcile datasets, and monitor data health.
• Create recurring analytics reporting, data dictionaries, and metric definitions.
• Collaborate with clients and engineers on data solutions and CI/CD.
• Participate in Agile/Scrum development processes.

Skills

SQL

Healthcare data

Data validation

Data quality monitoring

Agile/Scrum

PostgreSQL

HIPAA compliance

Data dictionary

CI/CD

Problem solving

Education

Bachelor’s degree

Tools

SFTP

APIs

Job description

FullStack is seeking a Healthcare Data and Analytics Specialist to join our team. You will work with clients to analyze healthcare data, build reliable analytics, and ensure data quality across systems.

Ideal candidates bring 5+ years in data engineering or analytics, deep healthcare data knowledge, and strong SQL skills. This is a 100% remote role with opportunities to impact Fortune 500 clients.