Data Specialist / Health Analytics Professional
Job Description
Key Skills Required
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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.
What We Offer
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 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 annually.
- Opportunities for capacity development, including assistance with professional certification expenses (1 million - 5 million VND).
- 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 VND/person), team building, etc.
- Full participation in social insurance, along with a yearly health checkup at a reputable hospital.
- Comprehensive visit policy for personnel and relatives: birthday, marriage, childbirth, illness, etc.
- Access to sports and cultural activities such as the football club, cycling car, badminton, etc.
- Allowance for classes and training awards, including Learning Star of the Month.
- A chance to be the face of the year's study and receive royalties.
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Qode is an AI-powered enterprise hiring platform designed to centralize and automate the entire recruiting lifecycle. Founded in 2023, the company provides a unified suite of tools that replace disconnected hiring systems to improve speed, precision, and fairness in candidate selection. Its core offerings include AI-driven sourcing and automated outreach, a built-in Applicant Tracking System (ATS), and customizable AI-led interviews that can conduct technical and behavioral assessments in over 30 languages. Backed by investors like January Capital, Qode helps organizations scale their hiring operations by using AI agents to handle high-volume tasks, rank applicants objectively, and generate structured insights for human decision-makers.
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