Senior Data Analyst (Remote/Hybrid)

Vmo - An Alten Company

a month ago

USD 2,400

Hà Nội

Full-time

On-site

5+ years experience

Job Description

• 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.

Role Focus: Build scalable healthcare analytics capabilities that turn complex data into trusted, actionable business and clinical insights.

- Working Arrangement: Full-time Remote or Hybrid

Requirements

• 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.

Benefits

● Negotiable depending on experience & skills ● 13th-month salary ● Opportunity to work in a professional, modern and energizing setting.
● Challenging projects, possibilities, cutting-edge technology, and problems.
● 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,

Senior Data Analyst (Remote/Hybrid)

Vmo - An Alten Company

a month ago

USD 2,400

Hà Nội

Full-time

On-site

5+ years experience

Requirements

• 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.

Benefits

● Negotiable depending on experience & skills ● 13th-month salary ● Opportunity to work in a professional, modern and energizing setting.

● Challenging projects, possibilities, cutting-edge technology, and problems.

● 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,

Requirements

• 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.

Benefits

● Negotiable depending on experience & skills ● 13th-month salary ● Opportunity to work in a professional, modern and energizing setting.

● Challenging projects, possibilities, cutting-edge technology, and problems.

● 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,

Senior Data Analyst (Remote/Hybrid)

Job Description

Requirements

Benefits

Senior Data Analyst (Remote/Hybrid)

Job Description

Requirements

Benefits

Skills

Work Location

Vmo - An Alten Company

Similar jobs for you

Senior Data Analyst (Remote/Hybrid)

Job Description

Requirements

Benefits

Skills

Work Location

Vmo - An Alten Company

Similar jobs for you