Jobs

Health Data Analyst

|  Posted On: Mar 10, 2025

location:Sayreville, NJ 08871

Duration:8 Months, Contract

mode of work:On-site

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Job Summary

Job Title:  
Health Data Analyst

Posted Date:  
Mar 10, 2025

Duration:  
8 Months, Contract

Shift(s):  

09:00 - 17:00 PST


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Talk to our Recruiter

Name:
 
Amit TR

Email:
 
amittr2025@yopmail.com

Phone:
 
404-574-5614

Description

The Health Data Analyst is responsible for collecting, analyzing, and interpreting healthcare data to provide insights that drive data-informed decisions. This role involves working with medical records, clinical data, and operational information to support healthcare providers, insurers, and policymakers.


Key Responsibilities:

  1. Data Collection & Management

    • Gather data from Electronic Health Records (EHR), insurance claims, and other healthcare systems.
    • Ensure data integrity, accuracy, and completeness.
    • Maintain and update databases for easy access and reporting.
  2. Data Analysis & Interpretation

    • Analyze healthcare data using statistical tools (e.g., Python, R, SQL).
    • Identify trends, patterns, and insights to improve clinical outcomes and operational efficiency.
    • Create dashboards and visualizations for data presentation.
  3. Reporting

    • Develop reports for stakeholders, including healthcare providers, administrators, and policymakers.
    • Summarize key metrics such as readmission rates, treatment effectiveness, and patient demographics.
  4. Compliance & Security

    • Ensure data handling aligns with HIPAA and other data protection standards.
    • Follow best practices for data privacy and security.
  5. Collaboration

    • Work with IT teams, clinicians, and administrators to understand data needs.
    • Support strategic initiatives like cost reduction, patient satisfaction, and quality improvement.

Skills & Qualifications:

  • Education: Bachelor’s degree in Health Informatics, Statistics, Data Science, or a related field. A master's degree is preferred.
  • Technical Skills: Proficiency in SQL, Python, R, Excel, and data visualization tools (e.g., Tableau, Power BI).
  • Healthcare Knowledge: Understanding of medical terminology, ICD coding, and healthcare data structures.
  • Analytical Skills: Strong statistical analysis capabilities and critical thinking.
  • Communication Skills: Ability to present data insights to non-technical audiences.
  • Certifications: Certifications like CHDA (Certified Health Data Analyst) or CPHQ (Certified Professional in Healthcare Quality) are advantageous.

Key Performance Indicators (KPIs):

  • Data accuracy and integrity
  • Timeliness of reports
  • Insights that improve patient outcomes
  • Effective collaboration with clinical and administrative teams