Senior Data Analyst [Healthcare/ Insurance domain - English fluent]
Hạn nộp hồ sơ: 11/12/2026 (Còn 34 ngày)
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About the role
We are hiring a hands-on
Data Specialist with strong
Healthcare analytics experience to independently build scalable, data-driven solutions. The ideal candidate has deep healthcare domain knowledge, strong analytical thinking, experience with complex datasets, working knowledge of ML, and an AI-native approach. The role focuses on end-to-end ownership, with opportunities to guide junior analysts when needed.
Job Descriptions
Lead healthcare analytics initiatives across claims, clinical, member, provider, cost, utilization, quality, and population health.
Translate complex healthcare/business problems into clear analytical approaches and actionable insights.
Design and build scalable analytics solutions, reusable data assets, dashboards, and decision-support tools using large healthcare datasets.
Collaborate with Data Science/ML, Business, Clinical, Product, and Technology teams to deliver practical, high-impact solutions.
Leverage AI-assisted tools to improve productivity in analysis, coding, documentation, and insight generation.
May mentor junior analysts when required, while remaining primarily hands-on.
Open for many candidates who are willing to work Hybrid or Fulltime in Hanoi, do not accept intern/ expat
Job Requirements
5+ years of experience in healthcare/health analytics, healthcare data, insurance, payer/provider, health-tech, life sciences, or healthcare consulting (Must have)
English fluent (speaking and writing)
Strong understanding of healthcare data, processes, and analytics use cases.
Proven experience building scalable, big-data analytics solutions or data products.
Strong hands-on experience with large and complex datasets.
Advanced proficiency in Python & PySpark.
Working knowledge of Machine Learning concepts such as feature engineering, model evaluation, and interpreting model outputs.
Strong analytical thinking, ownership, and stakeholder communication skills.
Experience with Databricks, Spark, AWS/Azure, or cloud data platforms is a plus.
Knowledge of healthcare standards such as ICD, CPT, DRG, SNOMED, LOINC, or HEDIS is a plus.
Benefits
Salary will be based on your expectations, performances in the interviewing round
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...
If you are looking for a new Job, please do not hesitate to contact to me via:
Mail: [protected info]
Phone/ Call/ Zalo: [protected info]
We are hiring a hands-on
Data Specialist with strong
Healthcare analytics experience to independently build scalable, data-driven solutions. The ideal candidate has deep healthcare domain knowledge, strong analytical thinking, experience with complex datasets, working knowledge of ML, and an AI-native approach. The role focuses on end-to-end ownership, with opportunities to guide junior analysts when needed.
Job Descriptions
Lead healthcare analytics initiatives across claims, clinical, member, provider, cost, utilization, quality, and population health.
Translate complex healthcare/business problems into clear analytical approaches and actionable insights.
Design and build scalable analytics solutions, reusable data assets, dashboards, and decision-support tools using large healthcare datasets.
Collaborate with Data Science/ML, Business, Clinical, Product, and Technology teams to deliver practical, high-impact solutions.
Leverage AI-assisted tools to improve productivity in analysis, coding, documentation, and insight generation.
May mentor junior analysts when required, while remaining primarily hands-on.
Open for many candidates who are willing to work Hybrid or Fulltime in Hanoi, do not accept intern/ expat
Job Requirements
5+ years of experience in healthcare/health analytics, healthcare data, insurance, payer/provider, health-tech, life sciences, or healthcare consulting (Must have)
English fluent (speaking and writing)
Strong understanding of healthcare data, processes, and analytics use cases.
Proven experience building scalable, big-data analytics solutions or data products.
Strong hands-on experience with large and complex datasets.
Advanced proficiency in Python & PySpark.
Working knowledge of Machine Learning concepts such as feature engineering, model evaluation, and interpreting model outputs.
Strong analytical thinking, ownership, and stakeholder communication skills.
Experience with Databricks, Spark, AWS/Azure, or cloud data platforms is a plus.
Knowledge of healthcare standards such as ICD, CPT, DRG, SNOMED, LOINC, or HEDIS is a plus.
Benefits
Salary will be based on your expectations, performances in the interviewing round
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...
If you are looking for a new Job, please do not hesitate to contact to me via:
Mail: [protected info]
Phone/ Call/ Zalo: [protected info]
Thông tin chung
- Thu nhập: Thỏa thuận
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