Remote Healthcare Data Analyst: Real-World Insights & AI

Jobgether; United States; Remote; USD 90,000 - 110,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Flexible vacation

Parental leave

Remote work within US

Job summary

Jobgether, on behalf of our partner, seeks a Healthcare Data Analyst based in the United States. You will turn complex medical and pharmacy claims data into actionable insights that improve outcomes and medication use.

Work with clinicians, product, and technology teams to support real-world evidence studies and digital health solutions. You will strengthen data integration and automation while exploring AI opportunities in healthcare analytics.

Qualifications

• At least 5 years of experience as a healthcare data analyst within a health plan.
• Deep understanding of medical and pharmacy claims data, including claim-line-level analysis.
• Strong proficiency in Excel, SQL, Python, and/or comparable analytics tools.
• Experience with large, complex databases and automation development.

Responsibilities

• Build and maintain analytics tools to improve access to care and prescription use.
• Develop digital health tools that deliver real-time insights to physicians at the point of care.
• Conduct real-world evidence studies using claims data representing millions of lives.
• Ingest and standardize medical and pharmacy claims data with technology teams.
• Develop and optimize ETL processes to support data integration and analytics.
• Analyze claim-line-level data to identify trends and opportunities to improve care.
• Identify and implement automation and AI opportunities across workflows.
• Translate complex healthcare data into clear, actionable findings for decisions.

Skills

SQL

Python

Excel

Data analysis

Education

Bachelor’s degree

Tools

Medi-Span

First Databank

HCPCS

CPT

Job description

Jobgether, on behalf of our partner, seeks a Healthcare Data Analyst based in the United States. You will turn complex medical and pharmacy claims data into actionable insights that improve outcomes and medication use.

Work with clinicians, product, and technology teams to support real-world evidence studies and digital health solutions. You will strengthen data integration and automation while exploring AI opportunities in healthcare analytics.