Job Responsibilities
Strategic Insights & Predictive Analytics
Strategic Insights & Predictive Analytics
- Behavioral Modeling: Develop predictive models for customer churn, renewal likelihood, cross-selling, and up-selling opportunities.
- Customer Segmentation: Create advanced customer segmentations based on demographics, policy types, claims history, and digital behavior.
- Lifetime Value (CLV): Calculate and track Customer Lifetime Value to optimize marketing spend and acquisition strategies.
- Trend Identification: Monitor macroeconomic trends and shifting customer needs to identify new insurance product opportunities.
- Data Integration: Oversee the merging of unstructured data (e.g., call center logs, survey feedback) with structured insurance data (e.g., billing, policy administration).
- MarTech Collaboration: Partner with IT and Marketing teams to optimize the Customer Data Platform (CDP) and CRM systems.
- Data Quality: Establish high standards for data hygiene, extraction, and transformation processes (ETL) across analytics environments.
- Privacy Compliance: Ensure all data analytics practices comply strictly with regional data privacy laws (e.g., GDPR, PDPA) and insurance regulatory frameworks.
- VoC Programs: Lead Voice of the Customer initiatives, analyzing Net Promoter Scores (NPS) and Customer Satisfaction (CSAT) data.
- Root-Cause Analysis: Investigate drops in retention or customer satisfaction by connecting feedback directly to operational metrics.
- Research Synthesis: Combine quantitative data insights with qualitative research insights (e.g., focus groups) for a holistic customer view.
- Data Storytelling: Translate complex data science models into clear, visual, and actionable presentations for non-technical executives.
- Cross-Functional Advisory: Advise Product Development, Underwriting, Claims, and Sales teams on customer pain points and preferences.
- Campaign Support: Provide target audience insights and control group setups to the marketing team for A/B testing and campaign optimization.
- Bachelor's degree holder
- At least 8-12 years of experience in data analytics, customer insights, or business intelligence
- Good experience of data analysis tools and data visualization tools
- Fluent Cantonese and English
Job ID JN -072025-1985139
Morgan McKinley has been successfully connecting talented candidates with career opportunities for over 30 years. It’s in our DNA to Go Beyond – above...
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