Remote Health Data Analyst – Drive Impactful Insights in Healthcare

Join a forward‑thinking health‑tech team where your analytical skills turn complex datasets into actionable insights that improve patient care and operational efficiency. As a Remote Health Data Analyst, you’ll collaborate with clinicians, product managers, and data engineers to build predictive models, dashboards, and reports that support evidence‑based decision making. This fully remote position offers the flexibility to work from anywhere while contributing to meaningful healthcare innovations.

About the Role

In this role, you will be responsible for extracting, cleaning, and analyzing large health‑related datasets sourced from electronic health records, claims, wearable devices, and public health repositories. You will develop statistical models, perform cohort analyses, and visualize trends to identify opportunities for improving clinical pathways, reducing costs, and enhancing population health outcomes. Your work will directly inform product strategy, regulatory submissions, and investor reporting.

Key Responsibilities

• Design and execute data pipelines using SQL, Python, or R to prepare data for analysis.
• Build predictive and prescriptive models (e.g., risk stratification, readmission prediction) using machine learning techniques.
• Create interactive dashboards and reports in Tableau, Power BI, or Looker for stakeholders.
• Conduct A/B testing and statistical significance studies to evaluate interventions.
• Ensure data quality, privacy compliance (HIPAA/GDPR), and documentation of analytical processes.
• Partner with cross‑functional teams to translate analytical findings into business recommendations.

Requirements

• Bachelor’s degree in Statistics, Biostatistics, Epidemiology, Computer Science, Public Health, or a related field (Master’s preferred).
• 2+ years of experience analyzing healthcare or biomedical data.
• Proficiency in SQL and at least one statistical programming language (Python or R).
• Experience with data visualization tools (Tableau, Power BI, Qlik, or similar).
• Solid understanding of healthcare data standards (HL7, FHIR, ICD‑10, CPT).
• Strong communication skills to present technical findings to non‑technical audiences.

Preferred Qualifications

• Experience with machine learning frameworks (scikit‑learn, TensorFlow, PyTorch).
• Familiarity with cloud platforms (AWS, Azure, GCP) and big‑data technologies (Spark, Redshift).
• Knowledge of healthcare reimbursement models and value‑based care initiatives.
• Certifications such as Certified Health Data Analyst (CHDA) or Google Data Analytics Professional Certificate.
• Previous work in a remote or distributed team environment.

Benefits

• Competitive salary range: $78,000 – $102,000 USD per year.
• Fully remote work – set your own schedule within core collaboration hours.
• Health, dental, and vision insurance with employer contribution.
• 401(k) plan with matching.
• Generous paid time off and company holidays.
• Annual learning stipend for courses, conferences, or certifications.
• Wellness program including mental health resources and fitness subsidies.
• Latest hardware and software stipend for home office setup.

Salary Range

Based on industry standards for remote health data analysts with 2‑5 years of experience, the expected compensation is $78,000 – $102,000 USD per year, adjusted for location‑independent remote work.

How to Succeed

Successful candidates combine rigorous analytical thinking with a passion for improving health outcomes. Stay curious about emerging healthcare technologies, communicate insights clearly, and leverage data to tell compelling stories that drive action. Embrace the remote collaboration culture by being proactive in communication, documenting your work, and sharing knowledge with teammates.