Data Analyst

We are seeking a business-facing technical Data Analyst to translate GWAM Asia needs into clear data requirements and support trusted reusable data products. The role partners with business product architecture and engineering teams to enable reporting analytics decision-making and selected AI use cases.

Key Responsibilities:

• Translate business needs into testable data requirements across GWAM domains including clients distribution products and funds accounts AUM transactions and profitability.
• Lead or support discovery sessions and prepare business requirements specifications source-to-target mappings user stories acceptance criteria and process flows.
• Use SQL to profile investigate and reconcile data; identify gaps and anomalies; and support solution design.
• Partner with data engineers and architects to deliver scalable solutions on the Enterprise Data Lake platform.
• Support data mapping cleansing transformation integration quality controls testing user acceptance and production readiness.
• Develop dashboards and analytical outputs that communicate clear actionable insights.
• Align data definitions ownership lineage and quality expectations across markets and escalate material risks or dependencies promptly.

Required Qualifications & Skills:

• Education: Bachelors or Masters degree in Data Analytics Computer Science Statistics Mathematics Finance Business Analysis or a related discipline.
• Experience: 35 years in a Data Analyst BI Analyst data-focused Business Analyst or similar role.
• Strong SQL and Excel skills with experience in requirements gathering data mapping profiling reconciliation data quality and testing.
• Ability to translate business needs into clear requirements for technical teams.
• Strong analytical problem-solving prioritization and English communication skills.

Preferred Experience and Collaboration:

• Wealth or asset-management experience; broader financial-services experience is also valuable.
• Experience with Power BI and one or more of Python R Spark Databricks Azure Data Lake Storage or Azure Data Factory.
• Knowledge of data governance metadata lineage data products or Agile delivery.
• Strong stakeholder management skills and ability to collaborate across Canada and Asia in a global multicultural distributed team.

When you join our team:

• Well empower you to learn and grow the career you want.
• Well recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our global team well 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 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 .