Data Analyst

Posted Yesterday
Be an Early Applicant
Quezon City, Metro Manila, National Capital Region, PHL
In-Office
Mid level
Fintech • Insurance • Financial Services
The Role
Business-facing Data Analyst translating business needs into data requirements and supporting reusable data products. Responsibilities include requirements gathering, SQL-based data profiling and reconciliation, source-to-target mapping, data quality and testing, dashboard development, and collaboration with engineering and architecture teams. The role supports enterprise data lake solutions, governance, lineage, reporting, analytics, and selected AI use cases across global wealth and asset-management domains.
Summary Generated by Built In

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 [email protected].

Working Arrangement

Hybrid

Skills Required

  • Bachelor's or Master's degree in Data Analytics, Computer Science, Statistics, Mathematics, Finance, Business Analysis, or a related discipline
  • 3-5 years of experience in a Data Analyst, BI Analyst, data-focused Business Analyst, or similar role
  • Strong SQL skills
  • Strong Excel skills
  • Experience with 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, and prioritization skills
  • Strong English communication skills
  • Wealth or asset-management experience
  • Broader financial-services experience
  • 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 and collaboration skills in global, multicultural, distributed teams

Manulife Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Manulife and has not been reviewed or approved by Manulife.

  • Healthcare Strength — Healthcare coverage is portrayed as comprehensive, spanning medical, dental, prescription drugs, vision, critical illness, and short- and long-term disability. Mental-health support is emphasized via EAP-style services and high annual coverage limits in some regions, alongside wellness programs and navigation tools.
  • Retirement Support — Retirement offerings are positioned as a meaningful part of total rewards, including group RRSP/defined contribution pension options and employer matching in some cases. Ownership-related programs such as share purchase/stock options are also described as available for eligible employees.
  • Flexible Benefits — Benefits are described as robust and flexible, with customizable packages and spending-account style options in some plans. Digital tools (mobile app/claims) and reward-linked wellness programs are framed as making benefits easier to use and more engaging.

Manulife Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Toronto, Ontario
32,427 Employees
Year Founded: 1887

What We Do

Manulife is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We have more than 40,000 employees, over 116,000 agents serving ~34 million customers worldwide, and over $1.3 trillion in assets under management and administration. Visit www.Manulife.com to find out more. For Manulife terms of use, please visit http://bit.ly/SM_Terms

Similar Jobs

JPMorganChase Logo JPMorganChase

Data Analyst

Financial Services
Remote or Hybrid
2 Locations
289097 Employees

RELX Logo RELX

Data Analyst

Information Technology • Legal Tech • Analytics
In-Office
Manila, First District NCR, National Capital Region, PHL
10001 Employees
Hybrid
Manila, First District NCR, National Capital Region, PHL
3062 Employees

SGS Logo SGS

Data Analyst

Information Technology • Professional Services • Security • Consulting
In-Office
Muntinlupa, Southern Manila District, National Capital Region, PHL
99600 Employees

Similar Companies Hiring

Kepler  Thumbnail
Artificial Intelligence • Fintech • Software
New York, New York
9 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account