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

FMOLHS Career Portal; Lafayette (LA); On-site; USD 60,000 - 80,000; Full time

Job summary

FMOLHS Career Portal is seeking a Healthcare Data Analyst to analyze and interpret complex health data on-site in Lafayette, LA. The ideal candidate will hold a Bachelor's degree in a related field and have a minimum of three years of relevant experience.

The role involves performing advanced data analysis, managing healthcare data integrity, and collaborating with IT and clinical teams to improve patient outcomes. Strong analytical skills, communication, and proficiency in analysis tools like SQL and Python are key.

Qualifications

• Bachelor’s degree in Health Informatics, Data Science, Statistics, or related field.
• Minimum of 3 years of experience in healthcare data analysis.
• Proficiency in data analysis tools and software.

Responsibilities

• Perform advanced data analysis for clinical and operational decision-making.
• Ensure accuracy and integrity of healthcare data.
• Develop and monitor key performance indicators.

Skills

Advanced analytical skills

Data analysis tools (SQL, SAS, R, Python, Tableau)

Understanding of EHR systems

Excellent communication skills

Attention to detail

Teamwork

Education

Bachelor’s degree in Health Informatics, Data Science, or related field

Tools

SQL

SAS

R

Python

Tableau

Job description

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

Lafayette, LA, United States (On-site)

Job Description

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.

Responsibilities

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.

Qualifications

Education: Bachelor’s 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.