Back to jobs

Data Analyst / Business Analyst

Pay
Pay not listed
Work setting
Hybrid — work setting source
Working Arrangement Hybrid
Read the full posting
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 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.

  • Partner with data engineers and architects to deliver scalable solutions on the Enterprise Data Lake platform.

From the employer’s posting
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.
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.
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.
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

Report an error

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

Status in our records
Live
First seen by us
Nov 5, 2026today
Recorded sightings
1

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 0

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

At Manulife Financial, jobs usually come down by about day 27.

From 11,062 similar postings that came down, and 161 of Manulife Financial’s. Coming down is not always a hire.

Manulife Financial is hiring

34 open jobs

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

  • Analyst hiring is steady
  • Takes jobs down quickly
  • 12% 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

Complete your application on manulife.wd3.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Demand for Analyst roles

New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 965, the most 1,388, and the latest week had 1,365.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Overview:

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
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Quezon City

Working Arrangement Hybrid
Work authorization

This passage needs a closer read in the full description.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.