Remote Health Data Analyst – Work From Anywhere – Join a Mission‑Driven Team

“`html

Are you passionate about turning complex health data into actionable insights that improve patient outcomes? We’re seeking a detail‑oriented Health Data Analyst to join our innovative, fully‑remote team and help shape the future of digital health analytics.

About the Role

As a Remote Health Data Analyst, you will collaborate with clinicians, product managers, and data engineers to collect, clean, and interpret large datasets from electronic health records, wearable devices, and population health surveys. Your analyses will directly influence product roadmaps, clinical decision support tools, and public‑health strategies. This is a 100% work‑from‑home position, allowing you to contribute from any location while maintaining a flexible schedule.

Key Responsibilities

• Extract, transform, and load (ETL) health data from multiple sources ensuring data quality and compliance with HIPAA regulations.
• Develop and maintain dashboards and visualizations using Tableau, Power BI, or Looker to communicate findings to non‑technical stakeholders.
• Perform statistical analyses (regression, survival analysis, propensity scoring) to evaluate treatment effectiveness and patient risk factors.
• Partner with epidemiologists and product teams to design experiments, A/B tests, and predictive models.
• Document data pipelines, analytical methods, and results in clear, reproducible reports.
• Stay current with emerging health‑tech trends, regulatory changes, and best practices in data privacy.

Required Qualifications

• Bachelor’s degree in Health Informatics, Biostatistics, Public Health, Data Science, or a related field (Master’s preferred).
• 2+ years of professional experience analyzing clinical or population health data.
• Proficiency in SQL, Python or R, and experience with statistical packages (e.g., SAS, Stata).
• Hands‑on experience with data visualization tools (Tableau, Power BI, Looker).
• Strong understanding of HIPAA, GDPR, and other health‑data privacy regulations.
• Excellent communication skills – ability to translate technical findings into clear business recommendations.
• Self‑starter attitude with proven ability to manage projects independently in a remote environment.

Preferred Skills

• Experience with cloud platforms (AWS, GCP, Azure) and big‑data technologies (Spark, Hadoop).
• Familiarity with machine‑learning frameworks (scikit‑learn, TensorFlow) for predictive health modeling.
• Background in clinical research or working with EMR systems (Epic, Cerner).
• Certification such as Certified Health Data Analyst (CHDA) or Certified Analytics Professional (CAP).

Salary & Compensation

Salary Range: $55,000 – $80,000 USD per year, based on experience and expertise.

In addition to a competitive base salary, we offer performance‑based bonuses, a comprehensive benefits package, and a stipend for home‑office equipment.

Benefits & Perks

• Fully remote work – no commute, flexible hours.
• Health, dental, and vision insurance with 100% employer contribution.
• 401(k) plan with company match.
• Generous paid time off, sick days, and mental‑health days.
• Professional development budget for conferences, certifications, and online courses.
• Monthly wellness stipend and virtual team‑building events.
• State‑of‑the‑art laptop, dual monitors, and ergonomic accessories provided.

Why Join Our Team?

We are a fast‑growing health‑tech startup that values data integrity, collaboration, and impact. Our mission is to democratize access to high‑quality health insights, empowering providers and patients alike. As part of our remote‑first culture, you’ll have autonomy, a supportive leadership team, and a clear path for career advancement.

How to Stand Out

Show us a portfolio of past health‑data projects, a GitHub repository with clean, well‑documented code, or a case study demonstrating how your analysis drove measurable outcomes. Highlight any experience navigating regulatory compliance or building dashboards that have been adopted by clinical teams.

Next Steps

If you’re ready to leverage your analytical expertise to make a tangible difference in healthcare, we’d love to hear from you. Submit your résumé, a brief cover letter outlining your most relevant project, and links to any relevant work samples.

“`