Healthcare Data Analyst

Job description

This Healthcare Data Analyst Job Description template is tailored to suit the needs of your organization and attract highly skilled professionals. We have modified the template to highlight the key responsibilities and requirements for the role, ensuring that it appeals to talented developers

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Job brief

Here is a job description for a Healthcare Data Analyst

We are seeking a highly skilled and detail-oriented Healthcare Data Analyst to join our healthcare analytics team. As a Healthcare Data Analyst at [Company Name], you will play a crucial role in analyzing and interpreting healthcare data to support data-driven decision-making and improve the quality of patient care. Your expertise in data analysis, statistical modeling, and healthcare domain knowledge will be essential in uncovering insights from complex healthcare datasets. Join us in harnessing the power of data to drive positive outcomes for patients and healthcare providers.

Responsibilities:

  • Collect, validate, and analyze healthcare data from various sources, including electronic health records (EHRs), claims data, and patient surveys.
  • Perform data cleansing and data transformation to ensure data accuracy and consistency for analysis.
  • Develop and implement data analysis methodologies, statistical models, and data visualization techniques to interpret healthcare data.
  • Identify trends, patterns, and correlations within healthcare datasets to provide valuable insights to stakeholders.
  • Collaborate with cross-functional teams, including medical professionals and IT specialists, to define data analysis requirements and deliver actionable insights.
  • Conduct ad-hoc analyses and data mining to answer specific healthcare-related questions and support research initiatives.
  • Generate reports and dashboards to present data findings in a clear and understandable manner to non-technical audiences.

Preferred Skills:

  • Knowledge of healthcare compliance and data privacy regulations, such as HIPAA.
  • Previous experience in healthcare quality improvement initiatives and performance measurement.
  • Experience with machine learning algorithms and techniques for healthcare predictive modeling.
  • Familiarity with healthcare payer and reimbursement systems.

Qualifications

  • Bachelor's degree in Health Informatics, Healthcare Analytics, Data Science, or a related field. A relevant Master's degree is a plus.
  • Proven experience as a Healthcare Data Analyst or in a similar role, with a minimum of [X] years of experience in healthcare data analysis.
  • Strong proficiency in data analysis tools and languages, such as SQL, Python, R, or SAS.
  • Familiarity with healthcare data standards and terminologies, such as ICD-10, CPT, and SNOMED CT.
  • Experience with healthcare databases and data management systems (e.g., EPIC, Cerner, Meditech).
  • Knowledge of statistical analysis and modeling techniques, including regression analysis, time-series analysis, and predictive modeling.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) to create interactive and meaningful data presentations.
  • Strong analytical and problem-solving skills, with the ability to handle and interpret complex healthcare data.
  • Excellent communication and interpersonal skills to work effectively with cross-functional teams and medical professionals.