- Work closely with cross-functional teams (including such as sales, servicing, marketing, finance, call centre, etc) to formulate analytics use cases and data-driven solutions which will bring optimal value to our pension business
- Develop and execute analytics use cases roadmap, deliverables and KPIs
- Present complex analytical findings and insights to different levels of stakeholders (mostly non-technical) through development of interactive and multi-dimensional dashboards, and presentations
- Lead and guide data engineer and data scientist for pipeline development, data platform migration, predictive modelling and machine learning, etc in alignment with business priorities
- Work with IT/data architecture/engineer to deep dive into granular data and extract data for analysis, support data governance and data platform migration
- Support ad-hoc data analysis within short turnaround time
- Bachelor's degree in Computer Science, Data Analytics and Statistics, or related fields
- Minimum 8 years of experience in data analytics and data development, preferably within the insurance and financial sector. Experience in MPF and pension business is a plus
- Proven track record in delivering impactful data-driven solutions end-to-end, from data exploration from scratch to final visualization, following by insight sharing and recommendation/solutions
- Proficiency in SQL, Oracle, Microsoft Excel/VBA, Python programming and familiar with Spark/PySpark/Databricks/Hive. Also other data analytics visualization tools such as PowerBI, Power Automate, Power App, etc.
- Familiar with cloud platforms (Azure, GCP, etc)
- Hands-on experience in building generalized linear models, Deep learning models, clustering, text analytics
- Excellent communication and presentation skills in particularly able to convey complex data finding/insights to non-technical audiences
- Ability to manage multiple priorities simultaneously and work independently under pressure and tight timeline.
- Strong problem-solving, planning and project mangement skills. Self-initiative, proactive and can-do attitude as an individual and a team player and result oriented
- Strong knowledge in data governance and data quality principles
- Good at data modeling, artificial intelligence/machine learning and cloud environment. Demonstrate ability to learn other and new analytics and visualization tools/technologies
- You obsess about customers, listen, engage and act for their benefit
- You think big, with curiosity to discover ways to use your agile mindset and enable business outcomes
- You thrive in teams, and enjoy getting things done together
- You take ownership and build solutions, focusing on what matters
- You do what is right, work with integrity and speak up
- You share your humanity, helping us build a diverse and inclusive work environment for everyone
- Our mission; to be a part of making Decisions Easier and Lives Better
- A leadership team dedicated to your growth and success
- A bold ambition and set of goals to be a leader in driving transformation in our industry
- Our best. Every day.
Associate Director, Data Analytics, HK Retirement - Hong Kong, 香港 - Manulife
描述
Job Description
The Opportunity
Data & analytics play a critical role in our business. We are seeking a highly skilled and experienced Associate Director to join our Data Analytics team who will play a vital role in uncovering insights of different functions areas within our pension business to enable functional stakeholders to make data-driven decision.
Responsibilities:
We are looking for someone with:
What motivates you?
Our commitment to you:
Learn more about opportunities with us at
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Asia, Canada, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2022, we had more than 40,000 employees, over 116,000 agents, and thousands of distribution partners, serving over 34 million customers. At the end of 2022, we had $1.3 trillion (US$1.0 trillion) in assets under management and administration, including total invested assets of $0.4 trillion (US $0.3 trillion), and segregated funds net assets of $0.3 trillion (US$0.3 trillion). We trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges, and under '945' in Hong Kong.
Manulife is an Equal Opportunity Employer
At Manulife/JohnHancock, we embrace our diversity. We strive to attract,developandretaina workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin,colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
It is our priority to remove barriers toprovideequal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent withapplicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact .