Healthcare Data Analyst

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

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Healthcare Data Analyst based in the United States.

As a Healthcare Data Analyst, you will turn complex medical and pharmacy claims data into actionable insights that improve healthcare outcomes and medication use. You will develop and maintain analytical tools that help health plans understand care patterns, identify opportunities for improvement, and support better clinical decisions. Working alongside clinical research, product, and technology teams, you will contribute to real-world evidence studies and digital health solutions that deliver insights directly to clinicians. You will also help strengthen data integration, standardization, and automation processes while exploring opportunities to apply AI to healthcare analytics. This remote role offers the opportunity to work with large-scale healthcare datasets and collaborate across disciplines in a mission-driven, data-focused environment.

Accountabilities

• Build and maintain healthcare analytics tools that help improve how health plan members access and use medical services and prescription medications.
• Develop and enhance digital health tools that deliver clinical insights to physicians in real time at the point of care.
• Collaborate with clinicians to design and conduct real-world evidence (RWE) studies using claims data representing more than 25 million lives.
• Partner with technology teams to ingest, standardize, and manage medical and pharmacy claims data.
• Develop, maintain, and improve ETL processes to support reliable data integration and analytics.
• Analyze claim-line-level data to identify trends, patterns, and opportunities to improve medication use and care outcomes.
• Work with analytics, clinical, and technology colleagues to identify and implement process automation and AI opportunities.
• Translate complex healthcare data into clear, actionable findings that support informed decisions and continuous improvement.

Requirements

• 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 Microsoft Excel, SQL, Python, and/or comparable analytics and modeling tools.
• Familiarity with Medi-Span or First Databank and healthcare coding systems such as HCPCS and CPT.
• Experience working with large, complex databases and developing or supporting process automation.
• Strong problem-solving skills, intellectual curiosity, and attention to detail.
• Ability to interpret complex data and communicate findings that inform business and clinical decisions.
• Ability to work independently, take ownership of deliverables, and collaborate effectively across multidisciplinary teams.
• Adaptability and a willingness to learn as priorities, tools, and analytical needs evolve.
• Bachelor’s degree.
• Legal authorization to work in the United States without employment visa sponsorship.

Benefits

• Annual base salary: $90,000-$110,000, plus additional variable compensation. Final compensation depends on experience, market conditions, and business considerations.
• Health insurance: 100% of employee medical, dental, and vision premiums covered.
• Dependent coverage: 50% of dependent medical, dental, and vision premiums covered.
• 401(k) match: 100% match on employee contributions up to 5% of salary, subject to IRS limits.
• Flexible vacation policy: Time off can be taken at your discretion with leadership approval; there is no set minimum or maximum annual vacation allowance.
• Parental leave: Generous paid leave for birth and non-birth parents.
• Work flexibility: Remote position within the United States.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice:

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.