Data Analyst

Manulife; Quezon City; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

GWAM Asia is seeking a business-facing Data Analyst to translate data needs into clear requirements and support trusted, reusable data products. The role partners with business, product, architecture, and engineering teams to enable reporting, analytics, decision-making, and AI use cases.

You will translate business needs into testable data requirements, profile data with SQL, and collaborate with data engineers to deliver scalable solutions on the Enterprise Data Lake.

Qualifications

• Bachelor’s or Master’s degree in a relevant field.
• 3–5 years in a Data Analyst or similar role.
• Strong SQL and Excel, 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, 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 specifications, source-to-target mappings, user stories, acceptance criteria, and process flows.
• Use SQL to profile, investigate, and reconcile data; identify gaps and anomalies; 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; elevate risks or dependencies promptly.

Skills

SQL

Excel

Requirements gathering

English communication

Analytical thinking

Prioritization

Education

Bachelor’s or Master’s in Data Analytics/CS/Statistics/Math/Finance

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.