Manager, Distribution Planning & Business Analytics & Compensation

Job Scope / Position Summary

- To be responsible for proposing and monitoring effectiveness of Distribution Compensation and Contest; managing MIS and conducting analytics for distribution performance strategy and customer management, including but not limited to: develop Distribution KPI plan; monitoring and provide meaningful insights of Distribution strategy to Executives Management and Senior Distribution Management Teams.

Main Responsibility

- Develop and maintain dashboard/reports for distribution management and customer management.

- Conduct deep dive analytics on distribution performance: providing meaningful insights for distribution performance management

- Conduct deep dive analytics on customer management: providing meaningful insights for customer management (customer profiling, customer attrition, customer upselling)

- Study and propose planning for compensation and contest of Agency and GenE

- Conduct market intelligence to remain competitive edge of GVL schemes

Key Result Area

- Timely update on MIS report with high accuracy.

- Practical and relevant deep dive insights on business issues related to distribution management on request basis.

- Practical and relevant deep dive insights on business issues related to customer management on request basis.

- Practical study and propose planning/costing for compensation and contest

Timely update on market intelligence

Qualification and Experience Requirement

Education

• University Degree in Business Statistics/Business Administration/Finance/Insurance

Experience

• Minimum 4 years of business analytics, MIS management, or strategic planning for multi-national life insurance companies

• Strong working experience on data processing, report automation/visualization, MIS management for senior management

• Experience on projects management as advantage

Skills

• Strong analytic thinking, and solid business acumen

• Experience in project management is an advantage

• Basic knowledge of advanced business analytic methods/approach (profiling, 2 variables analysis, classification, logistic regression modelling) as advantage

• Skillful in using Microsoft Excel VBA, Access, SQL, Power BI, Microsoft Power Point (R or Python skills as advantages)

• Assertive communication and excellent presentation skills in both Vietnamese and English