Data Analyst-Healthy Start (Part Time)

Parkland Health

Parkland Health is dedicated to improving the health and well-being of the communities they serve. With over 125 years of service, they offer opportunities for professional growth within a dynamic healthcare setting. This position invites you to contribute your skills to a team where patient care is a passion, not just a profession.

In this role you can expect to have the responsibilities:

• Conduct statistical analysis and report generation using data from multiple sources.
• Collect, evaluate, and maintain data accuracy for management and clinical decision-making.
• Create and analyze trending reports with statistical summaries for management use.
• Design and implement database applications, recommending system improvements.
• Support custom software tools and manage departmental databases for reporting purposes.
• Ensure database integrity and perform maintenance tasks such as tuning and backup.
• Collaborate with staff to meet data needs, prepare reports, and address data requirements.
• Support the department with technology, software, and hardware applications.
• Implement new projects and monitor results for management.

This role comes with the following benefits:

• Career growth in a meaningful healthcare setting.
• Involvement in a diverse workplace recognized for community service.

This role requires you to have:

• Proficiency in Microsoft Excel with a minimum 80% test score.
• Strong communication skills.
• Working knowledge of statistical analysis and database design.
• Bachelor’s degree in a health-related field or management information systems.
• Two years of experience in healthcare or business data analysis.

You would benefit from having:

• Knowledge of program evaluation methods and strategic planning.
• Experience with management information systems design and interface.
• Familiarity with provider credentialing and privileging processes.

Parkland Health is committed to a smoke-free environment and promotes diversity, prohibiting discrimination based on numerous factors including age, race, and gender identity.