Hybrid Data Analyst — SQL, BI & Data Governance

Manulife; Manila; Híbrido; PHP 420.000 - 780.000; Jornada completa

Descripción de la vacante

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

Key responsibilities include data profiling, discovery sessions, mapping, and developing dashboards to communicate insights.

Formación

• Bachelor’s or Master’s degree in a data-related field.
• 3–5 years in a data analyst/BI analyst role.
• Strong SQL and Excel skills with data mapping and testing experience.
• Ability to translate business needs into clear, actionable requirements.
• Excellent analytical, problem-solving, and English communication skills.

Responsabilidades

• Translate business needs into testable data requirements across GWAM domains.
• Lead or support discovery sessions and prepare BRs, mappings, user stories, and acceptance criteria.
• Use SQL to profile, investigate, reconcile data, and identify gaps or anomalies.
• Partner with data engineers to deliver scalable solutions on the Enterprise Data Lake.
• Support data mapping, cleansing, transformation, and quality controls.
• Develop dashboards and analytical outputs that communicate actionable insights.

Conocimientos

SQL proficiency

Excel

Data profiling

Requirements gathering

English communication

Educación

Bachelor’s or Master’s degree in Data Analytics/CS/Statistics

Herramientas

Power BI

Python

R

Spark

Databricks

Azure Data Lake Storage

Azure Data Factory

Descripción del empleo

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

Key responsibilities include data profiling, discovery sessions, mapping, and developing dashboards to communicate insights.