Senior (5+ years of experience)
Summary of the Role
As a Senior Health Data Analyst, you will be responsible for analyzing complex healthcare data to find trends, insights, and solutions that can improve patient care and health system efficiency. Working closely with healthcare providers, policy makers, and other stakeholders, you will use your expertise in data management, statistical analysis, and health informatics to drive evidence-based decision-making and strategic planning.
Required Skills
Advanced analytical and problem-solving skills.
Excellent communication and report writing skills.
Ability to work collaboratively in a team environment.
Strong organizational and project management skills.
Keen attention to detail and accuracy.
Leadership and mentorship abilities.
Innovative thinking with a focus on continuous improvement.
Qualifications
Master's degree or higher in Public Health, Health Informatics, Statistics, or related field.
Minimum of 5 years of experience in health data analytics or a related field.
Proven track record of managing large datasets and conducting complex data analysis.
Expertise in statistical analysis software (e.g., SAS, R, Python) and database management systems.
Knowledge of healthcare systems, electronic health records (EHR), and medical terminology.
Experience with data visualization tools (e.g., Tableau, Power BI).
Strong understanding of data privacy and security regulations (e.g., HIPAA).
Responsibilities
Conduct in-depth analysis of healthcare data using statistical software and models.
Collaborate with cross-functional teams to interpret data and develop actionable insights.
Advise management and stakeholders on the implications of data findings.
Design and implement robust data management systems and processes.
Ensure data accuracy and integrity across multiple databases and platforms.
Create comprehensive reports and presentations to communicate complex data to non-technical audiences.
Stay up-to-date with the latest trends and advancements in health data analytics and technology.
Lead and mentor junior analysts and team members on best practices and analytical techniques.
Participate in research and development activities to improve healthcare outcomes through data analysis.