{"id":2599188,"url":"https://alion.io/job/amplify-health-senior-specialist-data-analytics","title":"Senior Specialist, Data Analytics","company":{"id":4433816,"name":"Amplify Health Asia Pte","domain":"amplifyhealth.com","url":"https://alion.io/company/amplify-health","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hong Kong"],"countries":["HK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":111000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2897},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-19T08:33:27Z","board_verified":true,"closed_at":null,"days_open":41,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":41},"description":"Do meaningful work with us. Every day.\nAt Amplify Health, we’re looking for individuals with ambition, resilience and passion for healthcare, insurance, wellness and digital technology. As a fast-growing business with the ambition of making people and communities across Asia healthier, we have exciting career opportunities available to help us achieve our vision.\nAs a Senior Specialist, Data Analytics, 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.\nResponsibilities\n1) Client & Market Partnership\nDevelop a deep understanding of the specific healthcare market, client business models, and operating environments.\nAct as a trusted analytics partner to clients, engaging stakeholders to understand objectives, challenges, and success metrics.\nTranslate clinical, operational, and financial needs into analytics use cases that drive measurable business and care outcomes.\nProactively manage client communication, expectations, and satisfaction across the engagement lifecycle.\n2) Analytics Delivery & Value Realisation\nLead end-to-end delivery and implementation of healthcare analytics solutions, from configuration through go-live and post-launch optimisation.\nEnsure high-quality, accurate, and timely analytics outputs that meet client requirements and internal standards.\nMonitor performance, adoption, and realised value of analytics products, identifying opportunities for optimisation and expansion.\nProvide ongoing support, enhancements, and refinements to analytics solutions in live environments.\n3) Data Analysis, Insight & Reporting\nAnalyse complex healthcare datasets to identify trends, drivers, and opportunities related to cost, utilisation, outcomes, and risk.\nTranslate analytical findings into clear, actionable insights and recommendations tailored to client needs.\nDevelop, maintain, and interpret dashboards, metrics, and reporting frameworks to support data-driven decision-making.\n4) Stakeholder, Relationship & Cross-Functional Management\nBuild and maintain strong working relationships with internal teams and external clients.\nWork closely with data engineers, developers, and SMEs to deliver integrated solutions.\nProactively manage dependencies, priorities, and delivery risks, resolving issues to maintain client trust and momentum.\nAct as an escalation point for analytics-related challenges, ensuring timely and effective resolution.\n5) Innovation, Product Development & Opportunity Identification\nIdentify opportunities where analytics, claims insights, or AI/ML can deliver incremental client and commercial value.\nPrototype and validate new analytics modules, features, and use cases in collaboration with clients and product teams.\nContribute 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.\n6) Governance, Risk & Compliance\nEnsure adherence to market-specific healthcare data regulations, privacy requirements, and internal governance standards.\nIdentify and manage risks related to data quality, analytical approaches, and AI/ML usage.\nSupport the development and application of mitigation strategies for analytical, operational, and regulatory risks.\n7) Client Enablement, Communication & Continuous Improvement\nEducate clients on healthcare analytics best practices, metrics interpretation, and value realisation.\nDesign and deliver user training and enablement sessions to drive adoption and capability uplift.\nPresent insights and recommendations clearly to audiences ranging from operational teams to senior executives.\nContinuously improve delivery quality, client experience, and analytical approaches through learning and feedback.\n8) Client Education & Capability Building\nAdvocate for health-specific analytics, metrics tracking, and best practices.\nEducate clients on the value and application of analytics, AI/ML, and claims insights.\nSupport capability uplift across client and internal teams through knowledge sharing.\n9) Solution Ownership\nLead the end-to-end design and execution of analytics solutions to address client business needs, translating client problems into robust, fit-for-purpose analytical approaches.\nOversee cross-functional delivery and maintain accountability for the quality, timeliness, and outcomes of final client deliverables.\nCandidate Profile\nExperience and Qualifications\n7- 10 years’ experience in healthcare analytics, data science, health technology, or a related domain.\nDemonstrated success delivering analytics solutions in complex healthcare environments.\nProven experience working with cross-functional technical and domain teams.\nBachelor’s degree required; advanced degree (e.g., MBA, Data Science, Health Economics, or related) strongly preferred.\nAbility to communicate in Cantonese is advantageous to support engagement with Cantonese-speaking clients and stakeholders.\nCompetencies & Core Characteristics:\nWe are seeking a professional who embodies the following competencies and characteristics essential for success in our scale-up environment:\nTechnical Domain Expertise: Strong understanding of healthcare analytics tools, methodologies, and data science approaches. Able to translate complex data into meaningful, actionable healthcare insights.\nStrategic Architect: Applies analytical thinking to shape solutions that align with client strategy and business objectives, balancing innovation with practical delivery.\nCustomer-Obsessed Advocate: Champions best-in-class healthcare analytics, educating clients and internal teams on metrics, insights, and value creation opportunities.\nUnifier & Cross-Functional Influencer: Effectively collaborates across analytics, engineering, clinical, and business teams, bridging technical and healthcare domains to drive impact.\nData-Driven Decisiveness: Uses evidence, structured analysis, and insight to make informed decisions under pressure, while managing ambiguity and competing priorities.\nResilient Operator: Demonstrates high attention to detail, resilience, and delivery focus in high-pressure environments, with a strong bias toward continuous improvement.\n Insatiable Curiosity: Continuously stays up to date with developments in healthcare, analytics, and AI/ML, seeking innovative approaches to improve products and outcomes.\nYou must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. 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