Deskripsi Pekerjaan
Join Nusautama Medicalindo as a Data Analyst Staff and become a key driver of data-driven decision-making in our innovative healthcare technology environment. In this pivotal role, you'll transform complex datasets into actionable insights that optimize operations, enhance patient care outcomes, and fuel strategic business initiatives. We're seeking a analytical professional who thrives on uncovering hidden patterns in data and translating them into compelling visual narratives for stakeholders across clinical, administrative, and research departments.
You'll leverage advanced analytical tools to monitor KPIs, identify emerging trends, and support evidence-based decision-making. Our collaborative culture encourages continuous learning and professional development, with opportunities to work on cutting-edge healthcare data projects that directly impact community health outcomes. If you're passionate about leveraging data to create meaningful change in the medical sector, we invite you to bring your expertise to our dynamic team.
Tanggung Jawab
- Analyze complex healthcare datasets to identify trends, patterns, and opportunities for operational improvement
- Develop and maintain interactive dashboards and reports using SQL, Excel, and BI tools
- Collaborate with clinical and administrative teams to define data requirements and deliver actionable insights
- Design and implement data validation protocols to ensure accuracy and consistency across systems
- Support predictive modeling initiatives to forecast patient outcomes and resource allocation needs
- Present analytical findings to stakeholders through clear visualizations and executive summaries
- Stay current with emerging data technologies and methodologies applicable to healthcare analytics
Kualifikasi
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
- 3+ years of experience in data analysis with healthcare or medical technology industry exposure
- Advanced proficiency in SQL, data visualization tools (Tableau/Power BI), and statistical analysis
- Strong experience with Python/R for data manipulation and machine learning applications
- Deep understanding of healthcare data structures, HIPAA compliance, and data governance principles
- Exceptional problem-solving skills with ability to translate business questions into analytical solutions
- Proven ability to communicate complex technical concepts to non-technical stakeholders