Hybrid Data Analyst — Power BI, SQL & Insights

Manulife John Hancock; Quezon City; Hybrid; PHP 600,000 - 1,000,000; Full time

Job summary

Manulife John Hancock is seeking a business-facing technical Data Analyst to translate GWAM Asia needs into data requirements and support 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 include translating business needs, leading discovery sessions, using SQL to profile data, partnering with data engineers on the Enterprise Data Lake, and

Qualifications

• Education: Bachelor's or Master's in data analytics, CS, statistics, math, finance, business analysis, or related field.
• Experience: 3–5 years as Data Analyst, BI Analyst, data-focused Business Analyst, or similar role.
• Proficient in SQL and Excel; experienced in requirements gathering, data mapping, profiling, data quality and testing.
• Ability to translate business needs into technical requirements.
• Strong analytical, problem-solving, prioritization and English communication skills.

Responsibilities

• Translate business needs into testable data requirements across GWAM domains.
• Lead or support discovery sessions and prepare BR specifications, mappings, user stories, acceptance criteria, and process flows.
• Use SQL to profile, investigate, reconcile data and support solution design.
• Partner with data engineers to deliver scalable data lake solutions.
• Support data mapping, cleansing, transformation, integration, QA, UAT, and production readiness.
• Develop dashboards and analytical outputs with clear, actionable insights.
• Align data definitions, ownership, lineage, and quality across markets.

Skills

SQL

Excel

Requirements gathering

English communication

Education

Bachelor's or Master's in a relevant field

Tools

Power BI

Python

R

Spark

Databricks

Azure Data Lake Storage

Azure Data Factory

Job description

Manulife John Hancock is seeking a business-facing technical Data Analyst to translate GWAM Asia needs into data requirements and support 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 include translating business needs, leading discovery sessions, using SQL to profile data, partnering with data engineers on the Enterprise Data Lake, and