Remote Health Data Analyst – Work From Anywhere – Join a Fast‑Growing Health Tech Team!

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Are you passionate about turning complex health datasets into actionable insights? Our innovative health‑tech company is seeking a data‑driven analyst to help shape the future of patient care—all from the comfort of your home office.

Salary Range

Estimated compensation: $55,000 – $80,000 USD per year, plus performance bonuses and equity options.

About the Role

As a Remote Health Data Analyst you will be the analytical backbone of our product and research teams. You’ll work closely with clinicians, engineers, and product managers to collect, clean, and interpret large‑scale health data—from electronic medical records to wearable device streams. Your insights will directly influence product roadmaps, clinical trial designs, and population‑health strategies.

Key Responsibilities

• Extract, transform, and load (ETL) diverse health datasets from APIs, databases, and third‑party partners.
• Develop and maintain dashboards (Tableau, Power BI, or Looker) that visualize trends in patient outcomes, utilization, and cost.
• Perform statistical analyses (regression, survival analysis, propensity scoring) to support evidence‑based decision making.
• Collaborate with data engineers to design scalable data pipelines and ensure data integrity.
• Write clear, concise reports and present findings to cross‑functional stakeholders.
• Stay current with HIPAA, GDPR, and other regulatory requirements to guarantee compliant data handling.

Requirements

• Bachelor’s or Master’s degree in Health Informatics, Biostatistics, Data Science, or a related field.
• 3+ years of professional experience analyzing clinical or population‑health data.
• Proficiency in SQL, Python (pandas, NumPy, SciPy) or R, and familiarity with statistical modeling.
• Hands‑on experience with data visualization tools (Tableau, Power BI, Looker).
• Strong understanding of healthcare data standards (HL7, FHIR, CDISC).
• Excellent communication skills—ability to translate technical findings into business value.
• Self‑starter mindset with proven success working remotely and managing time zones.

Preferred Qualifications

• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Knowledge of machine‑learning frameworks (scikit‑learn, TensorFlow, PyTorch) for predictive health analytics.
• Background in epidemiology or public health research.
• Certifications such as Certified Health Data Analyst (CHDA) or Google Data Analytics Professional Certificate.

Benefits & Perks

• 100% remote work—choose any U.S. location, with a flexible schedule that fits your lifestyle.
• Competitive salary plus quarterly performance bonuses.
• Equity participation in a rapidly scaling startup.
• Comprehensive health, dental, and vision insurance for you and your dependents.
• Generous paid time off, unlimited sick days, and 10 paid holidays.
• Professional development stipend for certifications, conferences, or online courses.
• Home office allowance (ergonomic chair, monitor, high‑speed internet reimbursement).
• Team‑wide virtual events, wellness programs, and mentorship circles.

Why Join Our Team?

We’re on a mission to democratize high‑quality health insights for providers, payers, and patients worldwide. Our culture values curiosity, collaboration, and impact. As a remote Health Data Analyst, you’ll have the autonomy to own projects from concept to delivery while being supported by a community of experts who celebrate each breakthrough.

How to Apply

If you’re ready to leverage data to improve lives and thrive in a fully remote, innovative environment, submit your résumé and a brief cover letter outlining a recent health‑data project you’re proud of.

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