Remote Health Data Analyst – Nationwide – Transform Healthcare Data into Actionable Insights

We are seeking a detail‑oriented Health Data Analyst to join a fast‑growing health‑tech team that leverages analytics to improve patient outcomes and operational efficiency. This fully remote position invites professionals from across the United States to apply their statistical expertise and domain knowledge to real‑world healthcare challenges. If you thrive on turning complex datasets into clear, actionable recommendations, this role offers the impact and flexibility you’ve been looking for.

About the Role

As a Health Data Analyst, you will partner with clinicians, product managers, and data engineers to extract, clean, and analyze healthcare data from electronic health records, claims, and wearable devices. Your insights will inform care pathways, risk stratification models, and performance dashboards that drive better health outcomes and cost savings. You will be expected to communicate findings clearly to both technical and non‑technical stakeholders, ensuring that data‑driven decisions are embedded in everyday workflows.

Key Responsibilities

• Design and execute SQL queries to pull longitudinal patient data from cloud‑based warehouses.
• Perform statistical analysis using Python (pandas, NumPy, SciPy) or R to identify trends, outliers, and predictive patterns.
• Build and validate predictive models for readmission risk, disease progression, and treatment response.
• Create interactive visualizations in Tableau or Power BI that highlight key performance indicators for clinical and operational teams.
• Document methodologies, assumptions, and results in reproducible reports and standard operating procedures.
• Collaborate with data engineering to improve data pipelines, ensuring data quality and timeliness.
• Stay current with healthcare regulations (HIPAA, GDPR) and best practices for de‑identified data handling.

Requirements

Education & Experience

• Bachelor’s degree in Public Health, Biostatistics, Epidemiology, Computer Science, Mathematics, or a related field; Master’s preferred.
• 2+ years of hands‑on experience analyzing healthcare or clinical data.
• Proven track record of delivering actionable insights that have influenced decision‑making.

Technical Skills

• Proficiency in SQL for complex querying and data manipulation.
• Strong programming skills in Python or R, with experience in statistical modeling and machine learning libraries.
• Familiarity with healthcare data standards such as HL7, FHIR, ICD‑10, and CPT codes.
• Experience with data visualization tools (Tableau, Power BI, Looker) and ability to craft executive‑level dashboards.
• Understanding of ETL processes and comfort working with cloud platforms (AWS, Azure, GCP).

Preferred Qualifications

• Certification in Health Data Analytics (e.g., CHDA) or related credential.
• Experience with natural language processing applied to clinical notes.
• Knowledge of healthcare economics and cost‑effectiveness analysis.
• Previous work in a remote, distributed team environment.

Benefits

Compensation

Salary Range: $68,000 – $92,000 USD per year, commensurate with experience and qualifications.

Work‑Life Balance

• Fully remote – work from anywhere in the United States.
• Flexible core hours with asynchronous collaboration options.
• Generous paid time off, including holidays and wellness days.

Professional Growth

• Annual learning stipend for conferences, certifications, and online courses.
• Access to mentorship programs with senior data scientists and clinical experts.
• Opportunities to publish research findings or present at industry forums.

Company Culture

We are a mission‑driven organization that believes data can transform healthcare. Our team values curiosity, integrity, and collaboration. Despite being distributed, we foster connection through regular virtual coffee chats, quarterly all‑hands meetings, and occasional in‑person retreats. Join us if you want to make a measurable difference while enjoying the autonomy and flexibility of remote work.