Healthcare Data Analyst at ERP INITIATIVES GROUP INC
Raleigh, NC 27629, USA -
Full Time


Start Date

Immediate

Expiry Date

13 Oct, 25

Salary

0.0

Posted On

14 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Communication Skills, Regulations, R, Programming Languages, Analytical Skills, Terminology

Industry

Information Technology/IT

Description

OVERVIEW:-

A Healthcare Data Analyst uses data analysis techniques to improve patient care and operational efficiency in healthcare settings. They collect, analyze, and interpret medical information to identify trends, patterns, and opportunities for improvement, working with various healthcare stakeholders to implement data-driven strategies. Here’s a more detailed look at the role:

ESSENTIAL SKILLS AND QUALIFICATIONS:

  • Technical Skills: Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R), data visualization tools (e.g., Tableau, Power BI), and database management systems.
  • Analytical Skills: Strong ability to interpret complex data, identify trends, and draw meaningful conclusions.
  • Communication Skills: Ability to effectively communicate technical information to both technical and non-technical audiences.
  • Healthcare Knowledge: Understanding of healthcare operations, terminology, and regulations.
  • Problem-Solving Skills: Ability to identify problems, analyze data, and develop solutions.
    Job Type: Contract
    Work Location: In perso
Responsibilities
  • Data Collection and Management: Gathering data from various sources (e.g., electronic health records, insurance claims, patient surveys) and ensuring data quality and integrity.
  • Data Analysis: Employing statistical techniques, data mining, and other analytical methods to identify trends, patterns, and insights related to patient care, operational efficiency, and cost-effectiveness.
  • Reporting and Visualization: Creating reports and visualizations (e.g., dashboards, charts, graphs) to communicate findings to stakeholders, including healthcare professionals, administrators, and executives.
  • Problem Solving: Using data analysis to identify areas where healthcare processes can be improved, costs can be reduced, and patient outcomes can be enhanced.
  • Collaboration: Working with various teams, including clinical staff, IT, and management, to implement data-driven solutions and ensure alignment with organizational goals.
  • Staying Up-to-Date: Keeping abreast of the latest trends and technologies in healthcare data analytics and actively seeking opportunities to improve data analysis practices.
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