Health Data Analyst (Analisa Kesehatan)

Join PT Rahmat Medika Utama as a Health Data Analyst and make a tangible impact on healthcare outcomes in Yogyakarta! In this pivotal role, you will transform raw medical data into actionable insights, driving strategic decisions that enhance patient care, optimize hospital operations, and improve overall healthcare delivery.

PT Rahmat Medika Utama, a leading healthcare provider in Yogyakarta, is dedicated to advancing medical services through data-driven innovation. As a Health Data Analyst, you will work closely with our team of healthcare professionals to analyze patient records, clinical data, and operational metrics using industry-standard tools like SQL, Tableau, and Python. Your insights will help us identify trends, predict outcomes, and implement evidence-based practices that elevate the quality of care we provide.

📋 Tanggung Jawab Pekerjaan

• Collect, clean, and analyze large datasets from electronic health records (EHR) and other healthcare systems.
• Develop and maintain data models to support clinical decision-making and operational efficiency.
• Create interactive dashboards and reports using Tableau or Power BI to visualize key performance indicators (KPIs) and trends.
• Collaborate with healthcare providers to understand data requirements and translate analytical findings into actionable recommendations.
• Implement data quality controls and ensure compliance with healthcare regulations such as HIPAA.
• Stay updated with the latest advancements in healthcare analytics and data science.
• Participate in cross-functional projects to drive continuous improvement in healthcare delivery.
• Provide training and support to junior analysts or healthcare staff on data interpretation and utilization.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Health Informatics, Data Science, Statistics, or a related field.
• Minimum 3 years of experience in healthcare data analysis, with a strong background in SQL and data visualization tools like Tableau or Power BI.
• Proficiency in Python or R for data manipulation and statistical analysis.
• Familiarity with healthcare data standards and terminologies such as ICD-10 and SNOMED CT.
• Strong problem-solving skills and the ability to communicate complex data insights to non-technical stakeholders.
• Excellent organizational and project management skills to handle multiple tasks and deadlines.
• Certification in healthcare data analytics or related fields is a plus.
• Ability to work in a fast-paced, dynamic healthcare environment.

🛠️ Keahlian

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