Responsibilities:Analyze customer and distribution channel data to identify growth opportunities (acquisition, cross-selling, retention, etc.).Partner with business teams to define analytics needs and deliver insights for decision-making.Support marketing campaigns with data-driven targeting, opportunity sizing, and lead generation.Measure campaign effectiveness and suggest improvements; explore new techniques for automation and optimization.Build and maintain dashboards to track campaign performance and customer/agent behavior.Work with IT to ensure secure, scalable, and integrated data solutions.Explore structured/unstructured data to enhance channel analytics and behavioral insights.Develop machine learning models (supervised/unsupervised) to improve analytics effectiveness.Requirements:Bachelor's degree holder8-10 years in data analytics, with 6-8 years in insurance sector.Hands-on experience in large-scale analytics projects.Proficient in Python & SQL; knowledge of machine learning is a plus.Experience in segmentation, predictive modeling, and analytics strategy.Skilled in stakeholder management, problem-solving, and driving results.Ability to lead projects independently with strong execution focus.Excellent presentation and communication skills (English & Chinese).
