AI Summary / Key Details

  • Role: Remote Health Data Analyst – US Nationwide – Transform Healthcare Insights from Anywhere
  • Compensation: $25 - $45 / hr
  • Location: Remote
  • How to apply: Click the Apply Now button on this page to submit your resume.
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Join a mission‑driven analytics team that turns complex clinical data into actionable strategies for better patient outcomes. Work fully remote while collaborating with clinicians, data engineers, and product leaders to shape the future of evidence‑based care.

About the Role

As a Health Data Analyst at MedInsight Analytics, you will own the end‑to‑end analytics lifecycle for diverse healthcare datasets — electronic health records, claims, wearable device streams, and population health registries. Your insights will directly influence care‑management programs, value‑based contracting, and regulatory reporting. This position offers the autonomy to design analytical frameworks, the support of a modern data stack, and the impact of improving health equity across the nation.

Key Responsibilities

  • Clean, validate, and integrate multi‑source clinical and claims data using SQL, Python, and cloud‑native ETL tools.
  • Develop predictive models and statistical analyses to identify high‑risk cohorts, utilization trends, and cost‑saving opportunities.
  • Create interactive dashboards and automated reports in Tableau, Power BI, or Looker for clinical leadership and payer partners.
  • Partner with data engineers to optimize data pipelines, enforce data governance, and implement CI/CD for analytics code.
  • Translate complex findings into clear narratives for non‑technical stakeholders, supporting strategic decision‑making and regulatory submissions.
  • Stay current on healthcare data standards (FHIR, HL7, ICD‑10/11, CPT) and emerging analytics methodologies.

Requirements

Education & Experience

  • Bachelor’s degree in Health Informatics, Biostatistics, Computer Science, or a related quantitative field; Master’s preferred.
  • 3+ years of hands‑on experience analyzing healthcare data in a payer, provider, or health‑tech environment.

Technical Skills

  • Advanced SQL (window functions, CTEs, performance tuning) and proficiency in Python (pandas, scikit‑learn, statsmodels) or R.
  • Experience with cloud data platforms — Snowflake, BigQuery, or Redshift — and orchestration tools such as Airflow or dbt.
  • Strong visualization expertise in Tableau, Power BI, or Looker; ability to build self‑serve analytics products.
  • Familiarity with healthcare data models (OMOP CDM, FHIR resources) and regulatory frameworks (HIPAA, CMS reporting).

Soft Skills

  • Exceptional problem‑solving ability with a focus on measurable health impact.
  • Clear communication — both written and verbal — for cross‑functional audiences.
  • Self‑directed, organized, and comfortable thriving in a fully distributed team culture.

Salary Range

$95,000 – $130,000 USD per year, commensurate with experience, certifications, and geographic cost‑of‑living adjustments.

Benefits & Perks

  • 100% remote work with a generous home‑office stipend ($1,500 annually).
  • Comprehensive health, dental, and vision coverage plus HSA/FSA options.
  • Unlimited PTO, paid holidays, and a dedicated “Wellness Week” each quarter.
  • Annual professional development budget ($3,000) for conferences, certifications, and courses.
  • Equity grant and performance‑based bonuses tied to product and clinical outcomes.
  • Employee‑assistance program, mental‑health resources, and virtual community events.

Our Culture

MedInsight Analytics is built on transparency, continuous learning, and a shared commitment to health equity. Our distributed team spans 30 states, collaborating through asynchronous workflows, weekly virtual stand‑ups, and quarterly in‑person summits. We celebrate diverse perspectives — clinical, technical, and operational — because the best insights emerge when every voice is heard.

How to Succeed Here

  • Own your data story: from raw ingestion to executive‑ready insight.
  • Iterate quickly — ship minimum viable analyses, gather feedback, refine.
  • Advocate for data quality and ethical use; be the guardian of patient privacy.
  • Mentor junior analysts and contribute to our open‑source analytics toolkit.

Next Steps

If you are passionate about turning health data into healthier lives and thrive in a remote‑first environment, we want to hear from you. Prepare a concise resume and a portfolio piece (dashboard, notebook, or report) that showcases your impact on a healthcare analytics project.