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Data Analyst

Manulife and John Hancock Open
Hybrid Quezon City Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Manulife and John Hancock. Quezon City · full-time.

Pay not stated Data Analyst salary

RoleData Analysis & BI
SeniorityMid-level
LocationQuezon City
WorkplaceHybrid
EmploymentFull-time
PostedOct 16, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Turn requests across GWAM data areas into testable specifications, mappings, user stories and acceptance criteria
  • Use SQL to inspect and reconcile data, surface anomalies and gaps, and inform solution design
  • Work with engineers and architects to shape Enterprise Data Lake solutions and prepare data for release
  • Support data integration, cleansing, quality checks, testing and production readiness
  • Build dashboards and analytical outputs, while aligning data definitions and escalating material risks

What you bring

  • You have three to five years in data analysis, BI analysis, data-focused business analysis or a similar role
  • A bachelor's or master's degree in a listed discipline or a related field is required
  • You bring strong SQL and Excel skills, plus experience with requirements and data mapping, profiling, reconciliation, quality and testing

Who this fits

This mid-level role suits a business-facing analyst who can translate needs for technical teams and collaborate across Canada and Asia. The role is hybrid and involves working with a global, distributed team.

From the employer

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: 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.

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:

  • 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 hr@manulife.com.

Working Arrangement

Hybrid
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.