Manager, Data Analytics

About FWD Group FWD Group (<1828.HK>) is a pan-Asian life and health insurance business that serves approximately 40 million customers across 10 markets, including BRI Life in Indonesia. FWD’s customer-led and tech-enabled approach aims to deliver innovative propositions, easy-to-understand products and a simpler insurance experience. Established in 2013, the company operates in some of the fastest-growing insurance markets in the world with a vision of changing the way people feel about insurance. FWD Group is listed on the main board of the Hong Kong Stock Exchange under the stock code 1828. For more information, please visit FWD Vietnam was established in 2016 and is a member of FWD Group. For more information, please visit PURPOSE You will be an individual contributor in a highly entrepreneurial work environment, responsible for planning and implementing business intelligent platform across FWD group. KEY ACCOUNTABILITIES Lead analytics initiatives to transform data into actionable business insights. Partner with business stakeholders across Distribution, Customer, Operations and Technology to drive data-driven decision making, improve operational efficiency, and identify growth opportunities. Analytics & Business Insights: Lead analytical projects to support business strategy and decision-making. Develop dashboards, reports, and KPI frameworks for executive and operational stakeholders. Identify trends, opportunities, risks, and root causes through data analysis. Deliver actionable recommendations to improve sales productivity, customer retention, and operational efficiency. Stakeholder Management: Work closely with business functions to gather requirements and translate them into analytical solutions. Present insights and recommendations to senior stakeholders. Data Product & Dashboard Development: Manage development and enhancement of Power BI dashboards and self-service reporting. Define business metrics and ensure consistency across reports. Monitor dashboard adoption and usage effectiveness. Advanced Analytics & Automation: Apply statistical analysis, machine learning, and predictive modeling where appropriate. Support AI and automation initiatives. Drive process automation to reduce manual reporting efforts. Data Governance & Quality: Ensure compliance with data governance policies. Define and monitor data quality KPIs. Collaborate with Data Engineering teams to improve data availability and reliability. Other tasks as assigned. QUALIFICATIONS / EXPERIENCE At least 5 years’ experience and expertise in professional data analysis and reporting. Minimum 4 years of Business Analysis experience. Financial especially insurance background is appreciated KNOWLEDGE & TECHNICAL SKILLS Strong knowledge of Data Analytics, Business Intelligence, and Data Visualization concepts. Proficiency in SQL, Power BI, Python, and relational database technologies. Experience in data profiling, data quality management, data mapping, and data transformation. Familiarity with ETL processes, Data Warehouse concepts, and dimensional data modeling. Good understanding of data governance, data lineage, and reporting best practices. Strong communication, stakeholder management, analytical, and problem-solving skills.