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Data Analyst / BI Developer

Pay
Pay not listed
Work setting
Hybrid — work setting source
Working Arrangement Hybrid
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Translate business needs into testable data requirements and source-to-target mappings

  • Use SQL to profile, investigate and reconcile data and find gaps and anomalies

  • Partner with data engineers and architects on scalable Enterprise Data Lake solutions

  • Develop dashboards and analytical outputs with clear, actionable insights

  • Support testing, user acceptance and production readiness for data solutions

From the employer’s posting
Translate business needs into testable data requirements across GWAM domains
Use SQL to profile, investigate, and reconcile data; identify gaps and anomalies
Partner with data engineers and architects to deliver scalable solutions on the Enterprise Data Lake platform.
Develop dashboards and analytical outputs that communicate clear, actionable insights.
Support data mapping, cleansing, transformation, integration, quality controls, testing, user acceptance, and production readiness.
Education & alternatives
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.

About Manulife Financial

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.

In the employer’s words · Read in context

Apply at Manulife Financial

Posting record

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Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 30, 20265 days ago
Recorded sightings
6
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 5

Similar jobs usually come down between day 5 and day 41.

From 10,535 similar postings that came down. Coming down is not always a hire.

Manulife Financial is hiring

32 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is steady
  • Takes jobs down quickly
  • 13% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • Azure
  • Databricks
  • Excel
  • Power BI
  • Spark
Where the posting names them
- 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.
- 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.
- 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.

Your next step

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Job description

View original posting ↗

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
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Quezon City

Working Arrangement Hybrid
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