Health Analytics Specialist
LocationSingapore
Typefull-time
SenioritySenior
Experience5+ yrs
Company size10,000+ people
PostedAug 12, 2026 · 2mo ago
Verified live21h ago
At a glanceSummarised by Seekless from the posting.
5+ years of experience in healthcare analytics, insurance analytics or a related field
Strong proficiency in SQL for data analysis and data transformation
Strong proficiency in Python for data analysis and data transformation
Bachelor's degree in Statistics, Mathematics, Data Science or a related quantitative discipline
Strong analytical and problem-solving skills
Effective communicator with strong presentation and stakeholder management skills
Detail-oriented, collaborative and results-driven
Experience with statistical modelling tools (e.g. SAS, SPSS)
Experience with visualisation tools (e.g. Power BI, Tableau)
Experience with cloud-based data platforms such as Databricks
Knowledge of insurance, health underwriting, claims and medical business
Skills
SQL
Python
SAS
SPSS
Power BI
Tableau
Databricks
Benefits
Equal opportunity employer
About the company
Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
About the role
In this role, you will drive health provider network analytics, medical business insights and advanced data modelling. You will leverage data to evaluate provider performance, identify trends, support network strategy and enable data-driven decision-making across the healthcare value chain.
Job Description
Provider Network Analytics
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Analyse provider network performance, healthcare utilisation and medical claims trends.
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Develop reports, dashboards and insights to support network management and contracting decisions.
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Monitor and forecast medical business activities and provider performance.
Business Insights & Reporting
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Translate complex data into actionable business recommendations for stakeholders.
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Support business planning, performance reviews and KPI tracking.
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Present analytical findings to stakeholders across the organisation.
Advanced Analytics & Modelling
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Develop and enhance statistical models for applications such as morbidity, persistency, fraud detection and policyholder behaviour.
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Leverage analytics tools and platforms to automate and scale reporting and analysis.
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Support data-driven initiatives that improve business outcomes and operational effectiveness.
Stakeholder Collaboration
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Partner with Health, PACS and cross-functional teams to deliver analytics-driven solutions.
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Contribute to medical research and strategic initiatives as required.
Who we are looking for:
Competencies & Personal Traits
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Strong analytical and problem-solving skills with the ability to derive insights from large datasets.
•
Effective communicator with strong presentation and stakeholder management skills.
•
Detail-oriented, collaborative and results-driven.
•
Able to simplify complex analytical findings for business audiences.
Working Experience
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5+ years of experience in healthcare analytics, insurance analytics or a related field.
•
Strong proficiency in SQL and Python for data analysis and data transformation.
•
Experience with statistical modelling tools (e.g. SAS, SPSS) and visualisation tools (e.g. Power BI, Tableau).
•
Experience with cloud-based data platforms such as Databricks is advantageous.
•
Knowledge of insurance, health underwriting, claims and medical business is preferred.
Education & Professional Qualifications
•
Bachelor’s degree in Statistics, Mathematics, Data Science or a related quantitative discipline.
Legal
Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.