We are seeking an experienced Data Analyst with strong expertise in Insurance Analytics, Business Intelligence, and Data Visualization. The ideal candidate will have over 3 years of experience delivering reporting and analytical solutions within the Life, General, Health, or Property & Casualty Insurance sectors.
The candidate will possess hands-on expertise in Microsoft Power BI, Microsoft Fabric, Qlik, and Tableau, along with a strong understanding of insurance business processes including Policy Administration, Claims Management, Underwriting, Reinsurance, Actuarial Reporting, Customer Analytics, and Regulatory Reporting.The role will partner closely with business stakeholders, underwriting teams, claims teams, finance, actuarial departments, and technology teams to deliver enterprise reporting and actionable business insights.
Key Responsibilities
Insurance Analytics & Reporting
- Develop and maintain enterprise-wide reporting solutions for insurance operations
- Analyze insurance data across policy, claims, underwriting, customer, finance, and actuarial domain
- Create dashboards and scorecards to monitor business KPIs, loss ratios, claim settlement performance, premium growth, and underwriting profitability
- Deliver insights that support risk assessment, fraud detection, customer retention, and operational efficiency initiatives.
- Perform trend analysis and predictive analytics to support business decision-making
Business Intelligence Development
- Design, develop, and maintain interactive dashboards and reports using:Microsoft Power BI, Microsoft Fabric, Qlik Sense/QlikView, Tableau
- Build executive and operational reporting solutions for insurance stakeholders
- Optimize report performance and enhance self-service analytics capabilities.
Microsoft Fabric & Data Platform
- Develop reporting solutions utilizing Microsoft Fabric components including: Lakehouse, Data Warehouse, OneLake, Dataflows Gen2, Semantic Models, Notebooks, Pipe
- linesSupport migration and modernization of legacy insurance reporting platforms to Microsoft Fabric.Collaborate with data engineering teams to build scalable insurance analytics solutions.
Insurance Data Management
- Develop dimensional models for:Policy Management,Claims Management,Underwriting, Billing & Premium Collection, Customer Analytics, Reinsurance
Finance & Regulatory Reporting
- Ensure data quality, reconciliation, and consistency across multiple insurance sourcesystems.Support Master Data Management (MDM) and data governance initiatives.
Stakeholder Engagement
- Work closely with:Business Users, Underwriters, Claims Managers, Actuarial Teams, Finance Teams, Risk & Compliance Teams
- Gather business requirements and translate them into analytical solutions.Present insights and recommendations to senior management and business stakeholders.
Regulatory & Compliance Reporting
- Support regulatory reporting requirements and compliance standards.Ensure data accuracy and auditability for financial and operational reporting. Assist in governance initiatives related to insurance data management.
Job Requirements
- Bachelor's or Master's degree in Computer Science, Data Analytics, Statistics, Actuarial Science, Finance, Insurance, or a related field.Experience with Python, Spark, Databricks, or Machine Learning.
- Experience working in Life Insurance, Health Insurance, General Insurance, or Property & Casualty Insurance.Familiarity with Agile delivery methodologies.
- Over 3 years of experience in Data Analytics, Business Intelligence,or Reporting.
- Strong expertise in:Power BI,Microsoft Fabric, Qlik Sense/QlikView, TableauAdvanced SQL development and query optimization.
- Strong understanding of: Data Warehousing, ETL/ELT Processes, Data Modeling,
- Data GovernanceExperience with Azure Data Services and cloud-based analytics platforms.Expertise in DAX, Power Query (M Language), andQlik scripting.
- Experience integrating data from policy administration, claims, underwriting, finance, and CRM systems.
- Strong understanding of insurance business processes and terminology.Experience working with: Policy Administration Systems, Claims Management Systems, Underwriting Platforms, Reinsurance Data, Actuarial Data Models
- Preferred Certifications
- PL-300: Microsoft Power
- BI Data AnalystDP-600: Microsoft Fabric Analytics EngineerDP-203: Azure Data Engineer AssociateTableau Certified Data AnalystQlik Sense Business Analyst CertificationInsurance-related certifications (ANZIIF, AII, CPCU, or equivalent) are advantageous.
Only Singaporean candidates can apply for the role.
