Job Responsibilities

• Perform exploratory and advanced analysis to uncover trends, patterns, and anomalies in customer behavior, digital engagement, and agency/channel performance.
• Apply advanced statistical techniques to analyze large datasets, identify patterns, and build predictive models that address business challenges.
• Develop predictive models or forecasts (e.g., customer lifetime value, churn risk, cross-sell/up-sell opportunities, loss ratio predictions).
• Solve complex problems in agent performance, customer digital footprints, and policy funneling.
  Create dashboards, reports, and visualizations using Tableau, Power BI, or similar tools.

Job Requirements

• At least 5–7 years of professional experience as a Data Analyst, experience in insurance agency reporting is an advantage
• Bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, or related disciplines
• Proficiency in Python and SQL
• Strong knowledge of statistical analysis techniques and methods
• Expertise in SQL for data manipulation and querying
• Experience with visualization tools such as Power BI or Tableau
• Strong ability to work with large, complex datasets and derive actionable insights
• Deep understanding of insurance domain metrics: loss ratio, combined ratio, premiums, claims frequency/severity, retention, acquisition cost, etc.
• Knowledge of underwriting principles, claims processes, and agency/channel dynamics.

Interested parties please send your full resume with your current and expected salary to [email protected]