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.

• →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.

• Education: Bachelor’s or Master’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Finance, Business Analysis, or a related discipline.
• Experience: 3–5 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.

• 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:

• 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.

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.

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 hr@manulife.com.