Data Analyst

Confidential

Makati City, Makati Hybrid permanent

Posted: May 11, 2026

Required Skills

Job Description

JOB SUMMARY:

A Data Analyst is responsible for gathering, analyzing and problem solving as it relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain subject matter expertise. A Data Analyst provides expertise on how Business workflows map to data, and how data can be integrated to build reusable data products. A Data analyst will serve as a subject matter expert for delivery teams.

JOB RESPONSIBILITIES:

Understanding the business use of data and stakeholder requirements to support work processes and strategic business objectives.

Working with business (digital platform, Business Units, function teams) and delivery teams to provide data management direction and support for data foundation initiatives and data products development.

Analyzing current data management: process, practices, tools, and helping shape future needs. Contributing to the design of common information models.

Assessing data quality concerns specific to workflow solutions being adopted and driving mitigation activities.

Advising on the appropriate data integration patterns, data modeling and data quality.

Maintaining and sharing knowledge of requirements, key data types and data definitions, data stores, data creation process.

Knowledge of Finance data and SAP are an advantage

JOB QUALIFICATIONS:

Familiarity with technologies such as Azure SQL, Python, and Power BI.

Data Catalog/Lineage (Purview), Data Modeling Techniques, Data fluency/modeling, Ability to use different data visualizations techniques and apply them appropriately.

Fundamental knowledge of Information Risk Management (IRM)

Knowledge and/or experience with Cloud computing, data collection, cleaning and preparation, business process and data modeling, data strategy, policies, and governance

Proven skill in being the link between different stakeholder groups (e.g., IT & Business) to collect, express and clarify requirements, while also matching goals & expectations among stakeholders to produce work products.

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