Manager / Senior Manager, Data Analytics, HK Retirement

Hong Kong, Manulife Financial Centre

Manulife

Manulife is a leading financial services group. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions.

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Data & analytics play a critical role in our business. We are seeking a highly skilled and experienced Manager / Senior Manager to join our Data & Analytics team who will play a vital role in implementing, optimizing, and maintaining data assets, and uncovering insights of different functions areas within our retirement business.

Position Responsibilities:

  • Design and implement data marts to meet specific business needs and data architecture standards.

  • Work with IT/data architecture/engineer to extract, transform, and load data from various sources into the data mart, ensuring data quality and accuracy. 

  • Implement data cleansing, enrichment, and transformation processes to ensure high-quality data is available for analysis and reporting.

  • Design testing plans, develop and implement data quality checks, validation rules, and supervising mechanisms to maintain data accuracy and integrity.

  • Document technical specifications, data models, and code changes to ensure maintainability and clarity.

  • 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, develop roadmap and drive deliverables and KPIs, which will bring optimal value to our pension business

  • Present complex analytical findings and insights to different levels of stakeholders (mostly non-technical) through development of interactive and multi-dimensional dashboards, and presentations

  • Support ad-hoc data analysis within short turnaround time

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Analytics and Statistics, or related fields with minimum of 5 years of experience, preferably within the insurance and financial sector. Experience in MPF and pension business is a plus

  • Proficiency in implementing and maintaining data mart, scheduling, monitoring, notification, and ETL processes using Azure Databricks, Python\Pyspark, SQL

  • Experience with ETL, data analytics visualization tools such as Power BI, Tableau, Power Automate, Power Apps, etc.

  • Familiar with cloud platforms (Azure, GCP, etc.)

  • Experience in delivering impactful data-driven solutions end-to-end, from data exploration from scratch to final visualization, following by insight sharing and recommendation/solutions is a plus

  • 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 management skills. Self-initiative, proactive and can-do attitude as an individual and a team player and result oriented

  • Good knowledge in data governance and data quality principles

  • Demonstrate ability to learn other and new analytics and visualization tools/technologies

When you join our team:

  • We’ll empower you to learn and grow the career you want.
  • We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
  • As part of our global team, we’ll support you in shaping the future you want to see.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a 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 to provide equal 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 with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

Working Arrangement

Hybrid
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Azure Computer Science Data analysis Data Analytics Databricks Data governance Data quality ETL Finance GCP KPIs Power BI PySpark Python SQL Statistics Tableau Testing

Perks/benefits: Career development Flex hours Insurance

Region: Asia/Pacific
Country: Hong Kong

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