We are seeking a motivated and detail-oriented Health Data Analyst to join our healthcare analytics team. In this role, you will be responsible for analyzing and interpreting health data to help improve healthcare delivery, patient outcomes, and operational efficiencies. You will work closely with cross-functional teams to extract, clean, and analyze data, providing insights that support decision-making processes. This is a fantastic opportunity to apply your skills in a healthcare context and build a career in health data analytics.

QUALIFICATIONS

• Bachelor’s degree in Health Informatics, Public Health, Statistics, Data Science, or a related field.
• 2–3 years of professional experience in data analysis, preferably within healthcare or a related industry.
• Proficiency in Microsoft Excel and SQL; experience with R or Python for data analysis preferred.
• Familiarity with healthcare data standards and regulations (e.g., HIPAA) is a plus.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication skills, with the ability to present technical findings clearly to non-technical audiences.
• Well-organized and able to manage multiple priorities and deadlines.
• Proactive learner with a genuine interest in healthcare analytics.
  Job Type: Full-time
  Pay: $71,229.86 - $95,642.41 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off

Work Location: In perso

• Collect, clean, and preprocess healthcare data from internal and external sources.
• Ensure data accuracy, consistency, and integrity during preparation.
• Perform descriptive and basic inferential statistical analyses to identify trends, patterns, and correlations.
• Generate reports on key health metrics, including patient demographics, treatment outcomes, and healthcare costs.
• Create clear and actionable dashboards, charts, and visualizations to communicate findings to management and healthcare providers.
• Collaborate with healthcare professionals, management, and IT teams to understand data requirements and deliver insights.
• Provide analytical support for ad-hoc requests and special projects.
• Stay current with emerging tools, technologies, and best practices in health data analytics.