Remote Health Data Analyst for Residents of Texas – Transform Patient Outcomes with Data

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Join a pioneering healthcare technology leader as a Remote Health Data Analyst. We are seeking a data wizard who can turn complex clinical datasets into actionable insights that save lives and optimize patient care from the comfort of your home office.

About the Role

As a Health Data Analyst at Nexus Health Systems, you won’t just be crunching numbers; you will be the bridge between raw medical data and life-changing healthcare decisions. In this 100% remote position, you will dive deep into electronic health records (EHR), claims data, and patient registries to identify trends, reduce readmission rates, and improve overall clinical efficiency.

You will collaborate with clinicians, hospital administrators, and software engineers to build sophisticated dashboards and predictive models. Your work will directly influence how care is delivered, ensuring that the right patients get the right treatment at the right time. If you are passionate about the intersection of Big Data and Public Health, this is your dream role.

Salary Range

$85,000 – $120,000 USD per year (Depending on experience and technical proficiency)

Key Responsibilities

Data Synthesis & Analysis

You will extract, clean, and analyze massive datasets from various healthcare sources. Your primary goal is to translate complex statistical findings into clear, visual reports that non-technical stakeholders can understand and act upon.

Performance Monitoring

Develop and maintain Key Performance Indicators (KPIs) to track patient health outcomes and operational efficiency. You will be responsible for spotting anomalies in health data that could signal systemic issues or opportunities for clinical improvement.

Cross-Functional Collaboration

Work closely with the Clinical Operations team to validate data accuracy and ensure all reporting complies with HIPAA regulations and healthcare privacy laws. You will lead weekly data review meetings to present your findings to executive leadership.

Requirements

Technical Expertise

• Proficiency in SQL: Advanced ability to write complex queries to extract data from relational databases.
• Data Visualization: Expert-level experience with Tableau, Power BI, or Looker to create intuitive healthcare dashboards.
• Programming Skills: Strong proficiency in Python or R for statistical analysis and data manipulation.
• Healthcare Knowledge: Familiarity with ICD-10, CPT codes, and HL7 standards is highly preferred.

Experience & Education

• Bachelor’s degree in Health Informatics, Statistics, Computer Science, or a related quantitative field.
• 3+ years of professional experience analyzing healthcare-specific data.
• Proven track record of managing large-scale datasets while maintaining 100% data integrity.

Soft Skills

• An analytical mindset with an obsession for detail.
• The ability to communicate complex technical concepts to medical professionals.
• Self-discipline and a proven ability to thrive in a fully remote, asynchronous work environment.

Why Join Nexus Health Systems?

Work-Life Harmony

We believe that great work happens when you have the freedom to manage your own schedule. This is a permanent remote position, meaning no commutes, no dress codes, and more time spent with your family.

Industry-Leading Benefits

• Comprehensive Health Package: Premium medical, dental, and vision insurance.
• Home Office Stipend: A generous one-time allowance to ensure your home workspace is ergonomic and high-tech.
• Professional Development: Annual budget for certifications, bootcamps, and healthcare informatics conferences.
• Equity & Growth: Competitive 401(k) matching and a clear pathway to Senior Analyst or Data Science leadership roles.

The Ideal Candidate

The perfect candidate is someone who doesn’t just see a spreadsheet of numbers, but sees the human stories behind the data. You are someone who asks “Why?” and “How can we make this better?” You are a problem-solver who is eager to tackle the challenges of modern healthcare delivery using the most advanced analytical tools available.

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