Senior Data Analyst

Responsibilities

• Apply deep Life Insurance domain knowledge (e.g., policy lifecycle, underwriting, claims, renewals, persistency, lapse, riders, channels, agents/brokers, bancassurance).
• Design and deliver regionally relevant Life Insurance use cases across multiple markets (e.g., APAC).
• Generate insights across customers, products, channels, agents, and geographies using large, complex datasets.
• Support analytics initiatives across new business, renewal, cross-sell, upsell, persistency, and claims performance.
• Build, enhance, and maintain dashboards and reports to support cross-channel sales and marketing engagement.
• Perform in-depth performance analysis and present insights in leadership and company-wide forums.
• Apply predictive analytics to forecast sales, lapse risk, agent performance, and customer behavior.
• Develop segmentation models (customers, agents, products) to support targeted business strategies.

Requirements

• Bachelor's degree (minimum) in a quantitative or analytical discipline, or equivalent practical experience.
• 5+ years of experience in data analytics, consulting, or analytics roles.
• Strong hands-on experience in the Life Insurance domain (mandatory).
• Strong experience in: Data modeling, schema design, and data cleansing; Identifying and defining meaningful insurance KPIs
• Strong business acumen with the ability to translate insights into measurable business impact.
• SQL (advanced querying, performance optimization)
• Data visualization tools: Power BI or Tableau

Benefits

• Working location:Remote full-time
• Salary range:Nego