AI Summary / Key Details

  • Role: Remote Health Data Analyst – California – Drive Insights That Transform Patient Care
  • 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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Are you a data‑driven professional ready to leverage advanced analytics to improve health outcomes? As a Remote Health Data Analyst for California‑based teams, you’ll collaborate with clinicians and technologists to turn complex datasets into actionable insights that power innovative healthcare solutions. This role offers the flexibility of fully remote work while delivering high‑impact projects that matter.

About the Role

The Health Data Analyst will serve as a critical bridge between raw clinical and operational data and the strategic decisions that shape modern healthcare delivery. You’ll design, build, and maintain robust data pipelines, perform exploratory analysis, and generate visualizations that support evidence‑based care pathways. Working closely with a distributed team of data scientists, physicians, and product managers, you’ll ensure data quality, compliance with HIPAA regulations, and the scalability of analytic solutions across multiple platforms.

Key Responsibilities

  • Collect, clean, and integrate heterogeneous health data sources (EHR, claims, wearables) using SQL, Python, or R.
  • Develop and maintain automated ETL workflows that support near‑real‑time reporting.
  • Create interactive dashboards and reports with tools such as Tableau, Power BI, or Looker.
  • Perform statistical analysis and predictive modeling to identify trends, risk factors, and opportunities for care improvement.
  • Collaborate with clinical stakeholders to define data requirements and validate analytic outputs.
  • Ensure all data handling adheres to regulatory standards and institutional governance policies.
  • Document processes and share best practices across the remote data community.

Required Qualifications

  • Bachelor’s degree in Health Informatics, Biostatistics, Computer Science, or related field (Master’s preferred).
  • Minimum 2‑3 years of experience working with healthcare data or a strong portfolio of relevant projects.
  • Proficiency in SQL, Python (pandas, NumPy), and R, with exposure to statistical modeling (SAS, Stata, or machine learning libraries).
  • Hands‑on experience with data visualization tools and dashboard creation.
  • Solid understanding of HIPAA, FHIR standards, and data security best practices.
  • Excellent written and verbal communication skills, with the ability to translate complex findings for non‑technical audiences.
  • Self‑motivated, organized, and capable of thriving in a fully remote environment.

Preferred Qualifications

  • Experience with cloud‑based data platforms (AWS, Azure, Google Cloud) and big‑data technologies (Spark, Snowflake).
  • Knowledge of clinical terminology and healthcare delivery models.
  • Certification in health data management (e.g., CHDA) or related credentials.

Benefits

By joining this remote health analytics team, you’ll enjoy:

  • Competitive salary range of **$70,000 – $110,000 USD/year** based on experience.
  • Full remote flexibility with no commuting costs.
  • Comprehensive health, dental, and vision coverage.
  • Generous paid time off and company‑paid holidays.
  • Professional development budget and access to industry conferences.
  • State‑of‑the‑art collaboration tools and secure home office stipend.

Company Overview

Our client is a rapidly growing health‑technology firm headquartered in California, dedicated to empowering providers with data‑driven insights that enhance patient outcomes and operational efficiency. With a mission‑focused culture and a distributed workforce of over 200 data professionals, the company leverages cutting‑edge AI and machine learning to transform healthcare delivery on a national scale.

If you are passionate about using data to make a measurable impact on health and are looking for a remote role that offers both autonomy and collaboration, we invite you to explore this exciting opportunity. Join us and be part of a team that’s redefining the future of healthcare through analytics.