Chubb Life HK - Manager, Data Analytics

Chubb External; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Chubb External in Hong Kong is seeking a data-focused professional to own the data ingestion pipeline, ensuring its maintenance, reliability, and quality across markets. You will serve as the bridge between the global data team, market stakeholders, and market IT to align ingestion and quality initiatives.

You will develop dashboards and reports to monitor KPIs, process large datasets to uncover opportunities for efficiency and customer value, and work with marketing, operations, and finance to

Responsibilities

• Own the ongoing maintenance, enhancement, and operational reliability of the data ingestion pipeline.
• Serve as the primary point of contact between the global data team, market stakeholders, and the market IT team for data ingestion and data quality initiatives.
• Develop and maintain dashboards and reports to track key performance indicators.
• Process and analyze large data sets to identify opportunities for improving operational efficiency, customer acquisition, cross-selling, upselling, retention, and maximizing customer value.
• Collaborate with cross-functional teams including marketing, operations, agency, partnership, and finance, to understand their data needs and provide actionable insights.
• Perform ad-hoc data analysis to support various business initiatives and projects.

Job description

• Own the ongoing maintenance, enhancement, and operational reliability of the data ingestion pipeline.
• Serve as the primary point of contact between the global data team, market stakeholders, and the market IT team for data ingestion and data quality initiatives.
• Develop and maintain dashboards and reports to track key performance indicators.
• Process and analyze large data sets to identify opportunities for improving operational efficiency, customer acquisition, cross-selling, upselling, retention, and maximizing customer value.
• Collaborate with cross-functional teams including marketing, operations, agency, partnership, and finance, to understand their data needs and provide actionable insights.
• Perform ad-hoc data analysis to support various business initiatives and projects.