CVM Data Analytics – Manager / Senior Manager
Location: Hong Kong-Kowloon-Kowloon
Cigna (NYSE: CI) is a global health service company dedicated to helping people improve their health, well-being and sense of security. Our products and services include an integrated suite of health services, such as medical, dental, behavioral health, pharmacy and vision care benefits, and other related products including group disability, life, and accident coverage. Cigna has sales capability in 30 countries and jurisdictions, with approximately 80 million customer relationships throughout the world.
We are seeking a Manager or Senior Manager to join the Global Customer Value Management (CVM) team, who will be responsible for initiating, planning and executing data analytics projects to add values to Cigna Corporation. The CVM Team offers state-of-the-art data analytics techniques including propensity modeling, clustering, text-mining, optimization and digital analytics. We collaborate with different internal and external stakeholders to ensure project success.
This position is based in Hong Kong. Business travel is required. This position reports to Director of Global CVM.
Deliver data analytics projects, which aims to identify drivers of growth and profitability of a global insurance portfolio
Engage with a wide range of clients to address business needs
Apply insights to develop strategic and optimization recommendations. Collaborate with other teams for solution implementations in a cross-functional and decentralized global business environment
Manage a team of analysts to achieve business goals in a timely manner.
Technical Skills Required
Knowledge in data extraction, data manipulation, and data processing languages (e.g. SQL, SAS, Python, R) preferred
Analytical rigor & strategic thinking ability
Keen on learning new technologies
Personal Competencies Required
Self-motivated and organized with the ability to multi-task and work in a fast-paced and often ambiguous environment
Good client engagement skill. Experienced in consultancy and agency is a plus.
Fluency in English communication and good presentation skill
Strong business sense and result-oriented
At least 3 years of working experience in related areas
Education and Other Requirements
Bachelor’s degree or above in Statistics, Operations Research, Management Science, Econometrics, Engineering, or Applied Mathematics
Knowledge in fields of Insurance, Consumer Finance, Financial Services, Database Marketing and/or Data-mining is highly valued
- Data Mining
- SAS (Statistical Software)
- Team Management