Job Description
Data Specialist / Health Analytics Professional
We are looking for a Data Specialist / Health Analytics professional to join a leading healthcare technology and analytics organization.
The role focuses on turning complex healthcare data into scalable analytics solutions, reusable data assets and actionable business insights. You will work closely with business, clinical, technology and Data Science teams to solve complex healthcare problems and support data-driven decision making.
Key Responsibilities
- 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, including claims, clinical, member, provider, operational, utilization, cost and outcomes data.
- Apply analytical and AI-assisted tools to improve productivity and delivery quality.
- Collaborate with Data Science/ML teams on feature engineering, model evaluation and interpretation of model outputs.
- Partner with business, clinical, product, operations, finance and technology stakeholders.
- Provide guidance and mentorship to junior analysts when required.
Requirements
Must-have
- 5+ years of professional experience in health analytics, healthcare data analytics or related analytical roles.
- 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.
- Strong analytical and problem-solving skills with the ability to turn ambiguity into actionable insights.
- Proven experience building scalable, long-running analytics systems or data products.
- Strong hands-on experience with large, complex and messy datasets.
- Advanced proficiency in Python and PySpark.
- Working knowledge of Machine Learning concepts, including feature engineering, model evaluation and practical application of ML outputs.
- Strong communication and stakeholder management skills.
- Good English communication skills.
- Internship, research and part-time experience are not counted toward the minimum 5 years of professional experience.
Opportunities and challenges
- Opportunity to work in a professional, modern and energizing setting.
- Challenging projects, possibilities, cutting-edge technology, and problems.
- An open and dynamic working atmosphere that promotes the interchange of ideas, while also empowering you to work and create in your own style. Each employee's talent and accomplishments are valued, and outstanding employees are recognized and rewarded on a yearly basis.
- Opportunities for capacity development, as well as assistance with professional certification expenses, are available to those who work in the field (1 million - 5 million).
- Some advanced certifications will cover the full cost of studying and taking the exam.
Attractive rewarding policy and work-life balance
- Review salary 1-2 times/year, with the possibility of an unexpected salary rise based on capacity an infinite number of times per year
- Policy for 13th-Month Salary Bonus and Holiday Bonuses According to Company Regulations.
- Holiday travel mode (package 5-7 million/person), team building,...
- Full participation in social insurance, as well as a yearly health checkup at a reputable hospital.
- Comprehensive visit policy for personnel and relatives: birthday, marriage, childbirth, illness, etc.
- The football club, cycling car, badminton,... are just a few of the sports and cultural activities available.
- Allowance for classes and training awards: Learning Star of the Month,
- A chance to be the face of the year's study, the royalties.
Job Tags
Internship