Healthcare Data Analyst (On-Site in Lafayette, LA)

This role will be located on-site in Lafayette LA.

The Healthcare Data Analyst 2 plays a crucial role in analyzing and interpreting complex health data to help improve patient outcomes operational efficiency and overall healthcare delivery within our health system. The ideal candidate will have advanced analytical skills a strong understanding of healthcare data and the ability to work collaboratively with various stakeholders across the organization.

Data Analysis and Reporting: Perform advanced data analysis to support clinical and operational decision-making. Generate comprehensive reports and data visualizations to communicate findings effectively.

Data Management: Ensure the accuracy integrity and security of healthcare data. Manage data extraction transformation and loading (ETL) processes.

Performance Metrics: Develop and monitor key performance indicators (KPIs) to assess the effectiveness of clinical and operational processes. Provide actionable insights to improve performance.

Research and Evaluation: Conduct research and evaluation projects to assess the impact of healthcare interventions and programs. Collaborate with clinical and administrative teams to design and implement studies.

Compliance and Standards: Ensure compliance with relevant regulations standards and best practices in healthcare data management and analysis.

Collaboration: Work closely with IT clinical and administrative teams to identify data needs and provide analytical support. Participate in cross-functional projects and initiatives.

Education: Bachelors degree in Health Informatics Data Science Statistics Public Health Business/Healthcare Administration or a related field.

Experience: Minimum of 3 years of experience in healthcare data analysis or a related field including internship.

Technical Skills: Proficiency in data analysis tools and software such as SQL SAS R Python or Tableau. Strong understanding of electronic health records (EHR) systems healthcare databases and data standards (e.g. ICD-10 CPT codes).

Analytical Skills: Advanced analytical and problem-solving skills. Ability to interpret complex data sets and provide meaningful insights.

Communication Skills: Excellent verbal and written communication skills. Ability to present data findings clearly and concisely to non-technical stakeholders.

Attention to Detail: Strong attention to detail and commitment to data accuracy and quality.

Team Player: Ability to work effectively in a collaborative team-oriented environment.