Amplify Health
Website:
amplifyhealth.com
Job details:
About Amplify Health
Who We Are
Amplify Health Asia Pte. Limited (Amplify Health) is a pan-Asian health technology and analytics company which brings together health technology assets, proprietary data analytics and healthcare expertise to support innovation across the healthcare value chain.
Headquartered in Singapore, Amplify Health operates in 10 markets across the region: Australia, Hong Kong, India, Indonesia, Malaysia, New Zealand, the Philippines, Singapore, Thailand and Vietnam.
Amplify Health develops integrated solutions that empower healthcare payors, providers and policymakers across Asia to identify value and drive new partnerships, understand variation and address systemic inefficiencies—with the aim of improving outcomes for individuals and the sustainability of health systems.
Powered by a clinically enriched data foundation, Amplify Health’s health intelligence platform combines modular AI solutions, context-aware automation and deep regional insights to offer localised, AI-powered health solutions spanning health payment integrity to chronic disease management. The company’s technology has earned recognition at several industry competitions, including the Celent Model Insurer Awards, ITC Asia Awards and SBR Technology Excellence Awards.
As an ISO27001 certified organisation, Amplify Health maintains clearly defined policies, structured oversight mechanisms and ongoing risk assessments that ensure alignment with global best practices on enterprise data security
Our Vision and Ambition
To build the leading healthcare AI and platform services company in Asia that transforms the delivery of health and wellness for patients and communities by combining and leveraging the distinctive and complementary assets and strengths of AIA and Discovery.
Amplify Health will simplify access to health data and AI Innovation to accelerate distinct and disruptive healthcare value insights and resulting improvements in health outcomes through value-based care, personalised care plans and aligning individuals’ lifestyle/ behavioural choices.
By 2028, Amplify Health will have in place one of Asia’s strongest health-tech and AI capabilities; a comprehensive, integrated health technology stack supported by precision insights derived from proprietary data pools.
The Position
Summary
As a Senior Associate, Data Analyst, you will be responsible for the continuous, robust, and accurate design, delivery, and monitoring of healthcare analytics products and frameworks. The role combines strong technical analytics capability with deep healthcare domain understanding to deliver actionable insights and measurable value for clients. You will work closely with data science, technology, terminology, and data teams to ensure high-quality delivery, effective stakeholder communication, and ongoing innovation across Amplify Health’s analytics offerings.
In addition, you will contribute to innovation initiatives and product creation, supporting the evolution of Amplify Health’s data, AI/ML, and analytics capabilities.
Responsibilities
1) Client & Market Partnership
- Develop a deep understanding of the specific healthcare market, client business models, and operating environments.
- Act as a trusted analytics partner to clients, engaging stakeholders to understand objectives, challenges, and success metrics.
- Translate clinical, operational, and financial needs into analytics use cases that drive measurable business and care outcomes.
- Proactively manage client communication, expectations, and satisfaction across the engagement lifecycle.
2) Analytics Delivery & Value Realisation
- Lead end-to-end delivery and implementation of healthcare analytics solutions, from configuration through go-live and post-launch optimisation.
- Ensure high-quality, accurate, and timely analytics outputs that meet client requirements and internal standards.
- Monitor performance, adoption, and realised value of analytics products, identifying opportunities for optimisation and expansion.
- Provide ongoing support, enhancements, and refinements to analytics solutions in live environments.
3) Data Analysis, Insight & Reporting
- Analyse complex healthcare datasets to identify trends, drivers, and opportunities related to cost, utilisation, outcomes, and risk.
- Translate analytical findings into clear, actionable insights and recommendations tailored to client needs.
- Develop, maintain, and interpret dashboards, metrics, and reporting frameworks to support data-driven decision-making.
4) Stakeholder, Relationship & Cross-Functional Management
- Build and maintain strong working relationships with internal teams and external clients.
- Work closely with data engineers, developers, and SMEs to deliver integrated solutions.
- Proactively manage dependencies, priorities, and delivery risks, resolving issues to maintain client trust and momentum.
- Act as an escalation point for analytics-related challenges, ensuring timely and effective resolution.
5) Innovation, Product Development & Opportunity Identification
- Identify opportunities where analytics, claims insights, or AI/ML can deliver incremental client and commercial value.
- Prototype and validate new analytics modules, features, and use cases in collaboration with clients and product teams.
- Contribute ideas and feedback to the evolution of Amplify Health’s analytics platforms and product roadmap.
- Support pilots, proof-of-value initiatives, and early-stage solution validation.
6) Governance, Risk & Compliance
- Ensure adherence to market-specific healthcare data regulations, privacy requirements, and internal governance standards.
- Identify and manage risks related to data quality, analytical approaches, and AI/ML usage.
- Support the development and application of mitigation strategies for analytical, operational, and regulatory risks.
7) Client Enablement, Communication & Continuous Improvement
- Educate clients on healthcare analytics best practices, metrics interpretation, and value realisation.
- Design and deliver user training and enablement sessions to drive adoption and capability uplift.
- Present insights and recommendations clearly to audiences ranging from operational teams to senior executives.
- Continuously improve delivery quality, client experience, and analytical approaches through learning and feedback.
8) Client Education & Capability Building
- Advocate for health-specific analytics, metrics tracking, and best practices.
- Educate clients on the value and application of analytics, AI/ML, and claims insights.
- Support capability uplift across client and internal teams through knowledge sharing.
Candidate Profile
Experience and Qualifications
- Over 5 years’ experience in healthcare analytics, data science, health technology, or a related domain.
- Demonstrated success delivering analytics solutions in complex healthcare environments.
- Proven experience working with cross-functional technical and domain teams.
- Bachelor’s degree required; advanced degree (e.g., MBA, Data Science, Health Economics, or related) strongly preferred.
Competencies & Core Characteristics:
We are seeking a leader who embodies the following competencies and characteristics essential for success in our scale-up environment:
- Technical Domain Expertise: Strong understanding of healthcare analytics tools, methodologies, and data science approaches. Able to translate complex data into meaningful, actionable healthcare insights.
- Strategic Architect: Applies analytical thinking to shape solutions that align with client strategy and business objectives, balancing innovation with practical delivery.
- Customer-Obsessed Advocate: Champions best-in-class healthcare analytics, educating clients and internal teams on metrics, insights, and value creation opportunities.
- Unifier & Cross-Functional Influencer: Effectively collaborates across analytics, engineering, clinical, and business teams, bridging technical and healthcare domains to drive impact.
- Data-Driven Decisiveness: Uses evidence, structured analysis, and insight to make informed decisions under pressure, while managing ambiguity and competing priorities.
- Resilient Operator: Demonstrates high attention to detail, resilience, and delivery focus in high-pressure environments, with a strong bias toward continuous improvement.
- Insatiable Curiosity: Continuously stays up to date with developments in healthcare, analytics, and AI/ML, seeking innovative approaches to improve products and outcomes.
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