Data Analyst / BI Developer

Company 81 - Manulife Data Services Inc.; Manila; Hybrid; PHP 600,000 - 900,000; Full time

Job summary

Manulife/John Hancock in Manila, Philippines is seeking a business-facing technical Data Analyst to translate GWAM Asia needs into clear data requirements and support trusted, reusable data products.

You will partner with business, product, architecture, and engineering teams to enable reporting, analytics, decision-making, and AI use cases, while ensuring data definitions, ownership, lineage, and quality across markets.

Qualifications

• 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.

Responsibilities

• Translate business needs into testable data requirements across GWAM domains (clients, distribution, products, funds, accounts, AUM, transactions, profitability).
• Lead or support discovery sessions and prepare business requirements specs, mappings, user stories, acceptance criteria, and flows.
• Use SQL to profile, investigate, reconcile data, identify gaps, and support solution design.
• Partner with data engineers and architects to deliver scalable solutions on the Enterprise Data Lake.
• 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.

Skills

SQL

Excel

Requirements gathering

Data mapping

Profiling

Data reconciliation

Data quality

Testing

English communication

Education

Bachelor's or Master's degree

Tools

Power BI

Python

R

Spark

Databricks

Azure Data Lake Storage

Azure Data Factory

Job description

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 elevate 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 [e-mail].

Working Arrangement

Hybrid

We’re Manulife. And we’re on a mission to make decisions easier and lives better. Better is what drives us. It’s what inspires us to find new ways to support customers and colleagues in living longer and healthier lives. It’s the reason we’re dedicated to investing in digital innovation and industry‑leading AI, and accelerating a sustainable and economically inclusive future. Joining us means you’ll be empowered to learn and grow your career. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. And as part of our global team, you’ll help shape the future you want to see – and discover that better can take you anywhere you want to go.

Recent Awards

Recent awards include: 2026 Gallup Exceptional Workplace Award Winner Manulife Named one of Forbes World’s Best Employers 2025 Financial Times World’s Best Employers Asia‑Pacific 2026 We’ve been recognized as one of Canada’s Top 100 Employers 2026 #1 Life Insurer for AI Maturity by Evident 2026

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