Data Analyst

Klinik Krisna Medical Center · 📍 Seminyak · Diposting 2026-10-12
FULL_TIME⭐ TERVERIFIKASI
Rp 8.000.000 – Rp 10.000.000 per month
Klinik Krisna Medical Center is seeking a talented Data Analyst to join our team in Seminyak. As a Data Analyst, you will play a crucial role in helping us make data-driven decisions to improve our services and patient care. In this role, you will be responsible for collecting, analyzing, and interpreting complex data to identify trends and insights that can help us enhance our operations and services. The ideal candidate will have a strong background in data analysis, excellent problem-solving skills, and a passion for improving healthcare services.

📋 Tanggung Jawab Pekerjaan

Collect, clean, and organize data from various sources to ensure accuracy and completeness.,Analyze data using statistical tools and techniques to identify trends and patterns.,Develop and maintain data models and algorithms to support business decisions.,Create reports and dashboards to visualize data and communicate insights to stakeholders.,Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.,Monitor and evaluate the performance of data systems and processes to ensure efficiency and effectiveness.,Stay up-to-date with the latest trends and best practices in data analysis and healthcare analytics.

🎓 Kualifikasi & Syarat

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.,Proven experience as a Data Analyst or similar role, preferably in the healthcare industry.,Strong proficiency in data analysis tools and software, such as SQL, Python, R, and Excel.,Excellent problem-solving and critical thinking skills.,Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.,Ability to work independently and manage multiple projects simultaneously.,Familiarity with healthcare data standards and regulations.

🛠️ Keahlian

Data analysis and visualization tools (e.g.TableauPower BI).Statistical analysis and modeling techniques.Machine learning and predictive analytics.Healthcare data standards and regulations.Project management and coordination skills.
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