Data Analyst - Remote

Domain & Business Analytics
• 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.

Data Analysis & Visualization
• 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.

Core Competencies
• Issue Resolution: Proactively identify and resolve data, reporting, and platform issues across multiple systems.
• Integration & Data Quality: Work with internal teams and vendors to resolve data integration, lineage, and quality challenges.
• Stakeholder Collaboration: Translate business requirements into analytics solutions aligned with Life Insurance KPIs.
• Continuous Improvement: Identify opportunities to improve analytics processes, data models, and tools.
• User Enablement: Deliver training and knowledge-sharing sessions to business users and analytics teams.

Education & Experience
• 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).
• Experience working in client-facing, consulting, or multi-market environments is highly preferred.
• Proven experience leading or mentoring analytics teams and managing analytics delivery.

Technical & Analytical Skills
• Strong experience in:
○ Data modeling, schema design, and data cleansing
○ Identifying and defining meaningful insurance KPIs
• Solid understanding of statistics, predictive modeling, and segmentation techniques.
• Hands-on experience with large-scale datasets and scalable analytics solutions.
• Strong business acumen with the ability to translate insights into measurable business impact.
• Excellent storytelling and communication skills, especially using PowerPoint, Word, or equivalent tools.
• Ability to perform under pressure in fast-paced, high-impact environments.
Technical Skills
Mandatory
• SQL (advanced querying, performance optimization)
• Data visualization tools: Power BI or Tableau

- Receive 100% salary from the onboarding date.
- Participate in company activities: Monthly and quarterly parties, teambuilding, travel, vacation and other activities.
- Work with large and advanced systems, have the opportunity to develop comprehensive technology skills with complex problems, requiring high accuracy.