Chubb Life HK - Head of Customer Insights

A strategic role leading Customer Insights team to look at end-to-end customer strategy via deep dive in customer and data insights Ability to lead and conduct market research via research house, desk research or internal survey platform Develop and present customer insights based on data analysis to support development of customer propositions Collaborate with cross-functional teams including marketing, operations, agency, partnership, product development and finance, to understand their data needs and provide actionable insights Oversee the ongoing maintenance, enhancement, and operational reliability of the data ingestion pipeline Oversee the design, development, and implementation of advanced analytics and data solutions Lead, inspire, and develop a team of data and analytics professionals Serve as the primary point of contact between the Global Data team and the market stakeholders for data initiatives

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field More than 10 years of experience in data analytics, data science, data engineering or a similar role, with experience in the life insurance industry being a plus Solid and practical experience in customer experience, CRM, and data & analytics Profound data & analytics, and insight summary skills Demonstrated ability to work, communicate and influence across functions and multiple stakeholders Good communication, and presentation skills Ability to deal with complexity and ambiguity Proactive and willing to take challenges and enjoy exploring new things Ability to turn consumer insights into business recommendations Strategic thinking, fast learner and problem solving skills People management experience; be able to develop talents Familiar with various research tools Comfortable working with all levels of management Ability to conduct English presentation & reports is required Strong proficiency in data visualization tools, analysis tools and programming languages, such as Power BI, SQL and Python Proven experience in data engineering or data platform engineering Strong understanding of data pipelines, data wrangling, data transformation, and ETL processes