5 дней назад
Data Specialist / Health Analytics Professional
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Specialist / Health Analytics Professional (Healthcare Data/Python/PySpark): Building scalable analytics systems, reusable data assets, dashboards, and decision-support solutions from complex healthcare datasets with an accent on claims, clinical, member, provider, utilization, cost, and outcomes analytics. Focus on designing long-running data products, applying feature engineering and model evaluation, and translating ambiguous healthcare problems into actionable insights.
Location: Hanoi, Vietnam; remote/hybrid working model
Company
is a healthcare technology and analytics organization focused on turning complex healthcare data into scalable analytics solutions and actionable business insights.
What you will do
- Lead analytics initiatives across claims, clinical operations, member analytics, provider performance, population health, care management, medical cost, utilization, and outcomes.
- Translate complex healthcare and business problems into analytical approaches, metrics, and actionable insights.
- Design and build scalable big-data analytics systems, data products, dashboards, and decision-support solutions.
- Work with large and complex healthcare datasets covering claims, clinical, member, provider, operational, utilization, cost, and outcomes data.
- Collaborate with Data Science and Machine Learning teams on feature engineering, model evaluation, and interpretation of model outputs.
- Partner with business, clinical, product, operations, finance, and technology stakeholders and mentor junior analysts when needed.
Requirements
- 5+ years of professional experience in health analytics, healthcare data analytics, or related analytical roles; internships, research, and part-time experience do not count.
- Experience in healthcare, insurance, payer, provider, health-tech, life sciences, or healthcare consulting environments.
- Strong understanding of healthcare data, business processes, and analytical use cases.
- Proven experience building scalable, long-running analytics systems or data products and working with large, complex, and messy datasets.
- Advanced proficiency in Python and PySpark, with working knowledge of Machine Learning concepts, feature engineering, and model evaluation.
- Good English communication skills, strong analytical and problem-solving abilities, and effective stakeholder management.
Culture & Benefits
- Professional, modern, and dynamic working environment with opportunities to work on challenging projects and cutting-edge technology.
- Open atmosphere that supports idea exchange and individual working styles.
- Professional development opportunities and support for certification expenses, including full coverage for some advanced certifications.
- Salary reviews once or twice per year, possible additional salary increases, a 13th-month salary bonus, and holiday bonuses according to company regulations.
- Social insurance, annual health checkups, allowances for classes and training, and support for selected personal and family events.
- Holiday travel packages, team-building activities, and sports and cultural clubs.
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