Назад
Company hidden
5 дней назад

Data Specialist / Health Analytics Professional

Формат работы
remote (только Vietnam)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Vietnam
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

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

hirify.global 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.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →