Senior Data Analyst

VMO - a proud member of the ALTEN Group, a global leader in engineering and IT services with over 60,000 employees worldwide.
At VMO, we partner with clients across Asia, the Americas, and Europe, delivering software development and digital transformation solutions that drive real impact on businesses and society.
From day one, our vision has been to build more than just a technology company - we aim to create a place where forward thinkers can thrive, innovate, and make a difference. At VMO, local talent connects with global opportunities. We are home to innovators, dreamers, and doers - and we are always looking for passionate people to join us and shape the future together.
We are hiring Data Specialists with deep experience in health analytics and a strong track record of delivering impactful, scalable analytical solutions. This role is designed for a strong individual contributor who can operate as an analytics builder - independently owning complex workstreams, designing durable data-driven systems, and influencing decisions across business, clinical, operational, data science, and technology teams. The ideal candidate brings strong healthcare domain knowledge, deep analytical thinking, hands-on experience with large and complex datasets, working knowledge of machine learning concepts, and an AI-native working style.
The role may involve guiding junior analysts or a small analytics pod, but the primary expectation is hands-on ownership and high-quality individual delivery.
(Open for Hybrid/ Remote Fulltime)
Key Responsibilities
Lead health analytics initiatives across areas such as claims, clinical operations, member analytics, provider performance, population health, care management, medical cost, utilization, quality, or outcomes analytics.
Translate ambiguous healthcare and business problems into structured analytical approaches with clear metrics, hypotheses, and decision frameworks.
Design, architect, and implement scalable, big data-driven analytics systems, reusable data assets, dashboards, insight engines, and decision-support tools.
Work with large-scale healthcare datasets, including claims, clinical, member, provider, operational, utilization, cost, and outcomes data.
Apply deep analytical thinking to identify patterns, root causes, risks, opportunities, and actionable insights.
Use AI-assisted tools effectively to multiply productivity across analysis, coding, documentation, insight generation, and stakeholder communication.
Collaborate with Data Scientists and ML teams on advanced analytics use cases, including feature design, model evaluation, business validation, and interpretation of model outputs.
Partner with business, clinical, product, operations, finance, engineering, and technology stakeholders to ensure solutions are practical, trusted, and adopted.
Where required, guide junior analysts by reviewing work, shaping analytical approaches, and raising delivery quality
Requirement:
5+ years of experience in health analytics, healthcare data analytics, or related analytical roles within payer, provider, health-tech, insurance, life sciences, or healthcare consulting environments.
Deep understanding of healthcare data, business processes, and analytical use cases.
Strong analytical thinking with the ability to break down complex problems and produce actionable insights.
Proven ability to architect and implement impactful, long-running, big data-driven analytics systems or data products.
Strong individual contributor mindset with the ability to independently own complex analytical problems from definition to delivery.
Demonstrated ability to operate as an analytics builder, creating reusable, scalable analytical assets rather than one-off reports.
AI-native working style, with proven ability to use AI-assisted tooling to improve productivity and delivery quality.
Strong hands-on experience working with large, complex, and messy datasets.
Advanced proficiency in Python and PySpark.
Working knowledge of machine learning concepts, including feature engineering, model outputs, evaluation metrics, and practical business application of ML models.
Excellent communication and stakeholder management skills, with the ability to influence decisions using data.
Preferred Qualifications
Experience in payer analytics, provider analytics, population health, value-based care, care management, claims analytics, medical cost analytics, quality analytics, or clinical operations analytics.
Familiarity with healthcare data standards or coding systems such as ICD, CPT, DRG, SNOMED, LOINC, HEDIS, or risk adjustment.
Hands-on experience with big data platforms such as Databricks, Spark, cloud data lakes, Azure, AWS, or equivalent environments.
Experience building analytics products or systems used repeatedly by business, clinical, or operational teams.
Experience guiding or mentoring junior analysts is a plus.
What Good Looks Like
A strong analytics builder who can turn ambiguity into durable, high-impact analytical systems.
Deep healthcare analytics expertise with strong business context.
High ownership mindset with focus on impact, data quality, and stakeholder trust.
AI-native approach to working faster, improving quality, and increasing leverage.
Ability to collaborate closely with Data Science teams and translate model outputs into business-ready insights.
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, 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...
APPLY FOR POSITION
● Send your CV to: [protected info] (Ms. Minh Hoa)
● Telegram: @minhhoami
● Address: IDMC Ton That Thuyet, Cau Giay, Hanoi
● Working time: 8.30 am - 5.30 pm from Monday to Friday.